Abstract
Digital platforms are becoming critical infrastructures for supporting a variety of innovative services that enhance our everyday lives. These platforms need to offer not only rational services but also ludic or slow services that focus on human pleasure. One important aspect of creating innovative digital platforms is that their concrete requirements and potential opportunities are vague before they are designed. Thus, designing, prototyping and evaluating digital platforms iteratively is essential for refining or customizing them, as knowledge is gradually gained throughout these iterations. However, it is costly to develop prototype platforms and evaluate them with traditional methods. A better tool that can be used to reveal these platforms’ potential opportunities by conceiving them in a simple and rapid way is needed. In this paper, we present our journey to develop nine digital platforms that share collective human sight and hearing with the Human-Material-Pleasure (HMP) annotation method, which is a tool that we use to describe the visually structured annotations of multiple digital platforms based on the annotated portfolio method. The most significant part of the paper presents annotated portfolios based on the HMP annotation method for the nine digital platforms that we develop and shows how these annotated portfolios play an essential role in revealing and exploring the potential opportunities of our platforms during the refinement process. We also discuss how the HMP annotation method is used in the context of exploring the potential opportunities of wearable shape-changing robotic devices; these devices have significantly different characteristics from our digital platforms, which allows for showing insights more objectively by extracting diverse insights from an alternative angle.
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1 Introduction
Over the last decade, an increasing focus has been placed on digital platforms across a variety of socioeconomic sectors, and transformational developments have occurred in the field of information and communication technologies. Together, these developments are engendering dramatic new opportunities for service innovation, the study of which is both timely and important. Recent advanced digital technologies have dramatically changed our daily lifestyles [70, 73, 93]. A smartphone containing powerful computational capabilities allows us to access information anytime and anywhere. Because phones also have various sensing capabilities, they can retrieve various types of information from the real world. In the near future, we will wear smartphones embedded in glasses, earphones and clothing, and such devices will be used to enhance our bodies’ capabilities [93]. For example, Google Glass [34] provides the capabilities of a mobile phone but is designed as a pair of eyeglasses, and eSense offers the capability to analyze human behavior through earphones [48]. These smart glasses, earphones and clothing illustrate the potential to enhance the capabilities of our eyes and ears.Footnote 1 In particular, the cameras and microphones contained in these devices offer new opportunities, as they can be used by other people as alternative eyes and ears.
Recently, digital platforms used to exploit digital artifacts such as smart wearable devices have become increasingly important to support our everyday activities [46, 52, 73]. Digital platforms represent one category of artifacts, and they offer abstractions or abstract objects that allow for the implementation of diverse innovative services on the platforms. Digital platforms are very complex from both the human perspective and the social perspective. Additionally, these platforms must offer high-level abstractions for developing diverse services. Therefore, to enable the construction of widely available digital platforms, diverse issues should be investigated. The interaction between human issues and platform issues (in particular, from an implementation perspective) is crucial, but both the human side and the platform side are independently designed in the traditional design process. The sociomateriality perspective suggests that human and nonhuman issues should be considered cooperatively at the same level to enable an understanding of social organization in the current technology-oriented society [64, 66, 75, 76]. A lack of adequate tools prevents us from exploring both sides at the same level when designing digital platforms [49]. In particular, we believe that cooperatively identifying the key abstractions of digital platforms and the human experiences triggered by abstraction are significantly influenced by each other.
Over the past several decades, the research on digital technologies has largely focused on rationalistic technological advancements. However, there have been steadily growing concerns about the limitations that such a strong focus places on utility and functionality. In particular, some researchers, especially those in the design-oriented human computer interaction community, have employed a dominantly rational focus that can obscure their efforts regarding how they account for relations between humans and technologies and how technologies shape human experiences in the world [23, 29, 73, 81, 102]. As a result, an interest in expanding this scope beyond utility and functionality has emerged in the research community. New design approaches, such as ludic design [73, 100] and slow design [58, 74], are emerging as alternatives to designing rationalistic focused, productivity-oriented, or goal-driven digital technologies. It is difficult to discuss how to develop innovative digital platforms that offer services beyond those identified by a rationalistic focus. Google has developed Google Street View [3], which is a popular rationalistic service, but this service has been used by artists to create artwork. For example, Jacqui Kenny is a unique travel photographer [94]. It is difficult to predict these innovative use cases during the design phase of new technology without a better tool to explore their potential opportunities.
A subtle philosophical argument against adopting universal standards for conduct in the sciences is presented in Paul Feyerabend’s Against Method [24]. The history of the sciences is replete with examples where a “rationalist” would have made a poor judgment call. He urges that we need to be aware of the limits of all rationalisms, and to ask, “How can we gain knowledge beyond rationalisms? Additionally, how we can document this knowledge?” The seminal works by Donald Schön [85] and Nigel Cross [14] lay the foundations for our understanding that there are diverse ways of interpreting the designs of everyday artifacts. With the recent advances in creative ways of working with innovative digital technologies, the relationship between research and design has been widely discussed [23, 29, 81, 102]. Typically, human-computer interaction researchers engage in the practice of design to make digital artifacts that can be explored in their use contexts and that reflect the new domain use cases and design perspectives revealed through practice, the artifacts themselves, or their use.
A number of proposals have been made on how to gain knowledge through the design of artifacts. These proposals have examined various forms of intermediate knowledge [44], such as annotated portfolios [10], strong concepts [43], research through design [29], concept-driven design [91], practice-driven research [81] and bridging concepts [18]. In particular, Jonas Löwgren emphasizes intermediate knowledge forms, which can be representations of meta-knowledge that guide how to design rather than what to design [69]. William Gaver states that the textual descriptions of artifacts, including any theoretical declarations about them, are considered annotations unrelated to the rationalistic approach [30]. The annotated portfolio method employs a collection of designs, which are represented in an appropriate medium, and these design representations are accompanied by brief annotations. These annotations describe the contexts of these design artifacts to their designers and researchers, and also provide an understanding of the research outcomes, successes and failures at each stage of the design process. Ilpo Koskinen and his colleagues assert that “Good design research is driven by understanding rather than data” [61], and this statement represents the basic motivation for this study’s core proposition: “The use of the annotated portfolio method, as a way for researchers to more deeply understand their research situations, is appropriate to explore the potential opportunities to refine research artifacts”.
In this paper, we present our journey to refine or customize digital platforms by exploiting diverse opportunities. In our project, we developed nine digital platforms that collectively share human eyes and ears, and they were utilized as the portfolio of our project. After developing two of the nine platforms, to explore their potential opportunities, we decided to use the annotated portfolio method to describe the essential properties of the digital platforms. During this process, we found that we needed the annotations to contain additional structured descriptions of the platforms’ exploration opportunities. We employed two different disciplines related to exploration to develop the visually structured annotation method. The first discipline is named sociomateriality, and it deals with humans and materials at the same level. The second discipline is named four pleasures, and it is used for designing the nonfunctional aspects of digital artifacts that lie beyond the rationalist perspective. We developed the human-material-pleasure (MHP) annotation method to incorporate these two disciplines into the annotated portfolio method. Therefore, in this paper, we first introduce an overview of the HMP annotation method (Section 4). Then, we describe our journey of using the HMP annotation method, and we detail our experiences with refining and customizing the nine digital platforms with the proposed method (Section 5). For exploring the effectiveness of our approach, we asked an expert researcher to use the HMP annotation method in his research projects, where we believe that the reproducibility of the validity of the HMP annotation method through multiple projects conducted in diverse different contexts will provide objective evidence for showing the significance of our study (Section 6).
This study makes the following two contributions. First, we propose the use of the HMP annotation method for exploiting and revealing the potential opportunities of digital platforms. The HMP annotation method provides visually structured annotations that can be used to find diverse unexploited issues in designs. The second contribution is that we show our journey of using the HMP annotation method to develop our nine digital platforms that collectively share human eyes and ears. We describe the ways in which we use the HMP annotation method to refine our platforms by exploring their opportunities. The direction of this study is significantly different from those of traditional studies intended to gain rationalistic scientific knowledge, but we believe that this direction is crucial to gain and document knowledge to advance our research scope in accordance with Paul Feyerabend’s proposition.
The remainder of this paper is organized as follows. Section 2 describes the background of our study. In Section 3, we provide a portfolio with overviews of our nine digital platforms. Section 4 presents an overview of the HMP annotation method. In Section 5, we detail our experiences with using the HMP annotation method to refine the digital platforms in our portfolio. Section 6 presents the experiences of an expert researcher who works on different types of artifacts with using the HMP annotation method to explore research artifacts. Section 7 describes our reflection of our experiences with the study. Finally, Section 8 concludes the paper.
2 Background
This section presents the background of our study. First, we provide an overview of the sharing economy concept and our adaptation of this concept to include the collective sharing of human eyes and ears, as these concepts are the basis of the nine digital platforms in our portfolio. Second, we describe the sociomateriality perspective, which refers to a discipline where technology and human interaction with technology are interlinked such that the two concepts cannot be objectively studied separately due to constitutive entanglement; this concept forms part of the basis of our annotation method. Third, we describe the generative design method and the four-pleasure framework used for designing innovative products and services; these also form part of the basis of our annotation method. Finally, we present an annotated portfolio that can be used as a design tool to represent extracted knowledge regarding products and services, because the annotated portfolio method is used to represent our nine digital platforms.
2.1 Sharing economy and collectively sharing human eyes and ears
Multisided digital platforms, which are collectively called the sharing economy, involve a sprawling range of multisided digital platforms and offline human physical activities such as Airbnb,Footnote 2 a peer-to-peer lodging service, and Uber,Footnote 3 a peer-to-peer transportation network used to share physical goods and logical resources [9, 35, 37]. The sharing economy uses digital technologies to provide individuals, corporations, nonprofits and governments with information that enables the optimization of resources through the redistribution, sharing and reuse of excess physical goods and logical resources [37]. The sharing economy also offers nonprofits new possibilities for innovation and efficiency along with new paradigms to progress from scarcity to abundance [35].
A market economy is essential to the current popular sharing economy platforms as sharing others’ property is necessary to succeed in matchmaking on multisided digital platforms; however, a market-based approach is not essential to a sharing economy because the term “economy” is used in terms of matchmaking on multisided digital platforms [22]. The most essential issue is how better incentives can be designed and chosen to successfully increase matchmaking on multisided digital platforms. There are a variety of ways to offer incentives for matchmaking [22]. Additionally, traditional sharing economies generally involve people’s physical belongings, such as cars, logical resources, or spare time. Investigating the feasibility of sharing other types of physical resources, particularly human bodies, might offer promising opportunities and provide an interesting new direction in which to expand the current scope of the sharing economy because navigating people’s behavior is necessary for accessing specific situations through sharing others’ bodies.
Our digital platforms, which are described in Section 3, focus on collectively sharing physical human body parts, in particular, human eyes and ears, in our case, people’s physical belongings and logical resources are not shared. These platforms allow us to share people’s body parts such as their eyes and ears instead of their physical belongings as in traditional sharing economy platforms. For example, on the CollectiveEyes digital platform [52] and the CollectiveEars digital platform [55], people allow users to collectively share their eyes and ears with very little effort. These platforms construct complex user experiences by integrating multiple times and spaces where diverse people live. The platforms allow their users to access a variety of spaces that other people see and hear; then, these experiences are seamlessly connected and clearly represented by trajectories [6]. To analyze the potential opportunities presented by these platforms, it is essential to investigate various kinds of experiences, such as diverse types of pleasure.
2.2 Actor-network theory (ANT) and Sociomateriality
Actor-network theory (ANT), which originated in the context of science and technology studies and, more broadly, in the context of sociology, is characterized as a constructivist philosophy. Fundamentally, it is not complex, but it offers radical implications: “The social is constructed by virtue of the relations between actors, which can be human or nonhuman and form a network” [64]. This symmetry between human and nonhuman actors is controversial, as it attributes agency to objects as soon as they have a relationship with other actors in a network [92]. Bruno Latour emphasizes that the “social” is not something that can be separated from other disciplines, activities or aspects of life. In an exploration into materiality and artifact design, Verena Fuchsberger and her colleagues have already pointed out the potential of ANT in terms of documenting the designs of artifacts; indeed, they asserted that “ANT would explicitly include the activity of the involved actors into the descriptions, i.e., of materials, designers and users” and “It would provide a common way of describing the design examples and thus facilitate a shared understanding, especially in the materiality discourse.” [28].
Sociomateriality is a theory built upon the intersection of technology and society. It attempts to understand the constitutive entanglement between social and nonhuman entities (Sociomaterialists typically use the term “material” instead of “nonhuman”.) in everyday life. Building on many researchers’ perspectives and thoughts regarding the definition of technology has given birth to debates about technology-in-use and the fundamental concepts of sociomateriality [75, 76]. In developing agential realism, Karen Barad suggests that additional attention needs to be paid to the ways in which meaning and matter are held together [4, 5]. Sociomateriality involves the enactment of a specific set of practices that integrate materiality with institutions, norms, discourses, cultures, and other social phenomena. Since sociomateriality focuses on the relationship between humans and technology, this perspective is useful in terms of investigating the influence of nonhumans on human attitudes and behavior.
Wanda Orlikowski, who is one of inventors of sociomateriality, claims that we should develop a relational ontology that presumes that the social and the material are inherently inseparable. Contrary to her claim, Paul Leonardi talks about agencies that are woven together [65, 66]. Our perspective of sociomateriality is close to his thinking, as he distinguishes between “human agency” and “material agency”; in this way, he does not privilege humans over nonhumans but rather human agency over material agency. He emphasizes the following: “Human agency is typically defined as the ability to form and realize one’s goals [...] [and the] human agency perspective suggests that people’s work is not determined by the technologies they employ”; “Material agency is defined as the capacity for nonhuman entities to act on their own, apart from human intervention. As nonhuman entities, technologies exercise agency through their “performativity””;Footnote 4 and “People who have goals and the capacity to achieve them (human agency) confront a technology that does specific things that are not completely in their control (material agency). In the enactment of their goals, then, people must contend with the material agency of the technology” [65].
2.3 Pleasure and experience in the generative design method
Along with what has been called the third paradigm in the human-computer interaction research field [25, 40], creativity has become central to the approaches of researchers and practitioners in the field. The recent developments in the field of design have required designers to become increasingly aware of their users’ experiences, their users’ emotions, the situation in which an artifact is used, and the relevant social and cultural influences. To extract design insights from the diverse contexts surrounding an artifact’s use, a number of techniques, such as participatory design methods, have emerged to enable extensive explorations of users’ lives. Among these techniques, cultural probes [31] and generative tools [83] involve asking participants to design artifacts that express diverse aspects of the their situations, lives, joys, worries, and more. In a typical case, participants are given a toolkit of words and images and asked to create collages and pictures that express the desirable and undesirable aspects of the contextual situations in which they use certain artifacts. These creations are used to inspire designers and researchers when they make innovative artifacts. The participants also present their creations to each other to inspire the extraction of new ideas. These creations are used to analyze various aspects of users’ attitudes and behaviors involving the examined artifacts.
The pleasures derived from using goods and services stem from the perceived benefits they offer to their users. Pleasure is defined as an experience that humans find enjoyable, positive, or worth seeking; while “experience” is a very broad term that is difficult to define, Marc Hassenzahl provides three considerations that are useful in the context of this study [39]: 1) Experiences are meaningful, personally encountered events; 2) Experiences are constructed as stories that comprise moment-by-moment events, and 3) Experiences emerge from integrating perception, action, motivation, and cognition into an inseparable, meaningful whole. Patrick Jordan outlines four types of pleasure involved in designing goods and services that offer benefits beyond functional efficiency and usability [47]. A way of classifying the different types of pleasure has been proposed by Lionel Tiger. He conducts an extensive study of pleasure and develops a framework for addressing pleasure-related issues, and he outlines this work in some depth in his book “The Pursuit of Pleasure” [95]. As shown below, his framework models four conceptually distinct types of pleasure: physical, social, psychological and ideological pleasure.
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1.
Physio-Pleasure: Bodily pleasure derived from the senses, including that related to the tactile and olfactory properties of goods and services.
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Socio-Pleasure: Enjoyment derived from relationships with others, where goods and services may confer social status and identity and may play a role in social situations.
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3.
Psycho-pleasure: Mental pleasure, including people’s cognitive and emotional reactions to goods and services.
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Ideo-pleasure: Pleasure involving people’s collective values, which influences people to buy goods and services that express their personal values, including, for example, their concern for the environment or sustainable living.
In consumerist societies, buying, using and displaying goods and services has come to represent a certain type of pleasure. This pleasure principle has to be acknowledged in the development and design of new goods and services. Product semantics is the study of the symbolic qualities of human-made objects in the cognitive and social contexts of their use [62]. The fundamental purpose of this field of study is to treat the form of a designed object as a message and identify possibilities for designers to intervene in the formation process. The term symbolic qualities refers to the psychological, social and cultural contexts in which a good or service exists, thus, these qualities are also considered rather than only considering the physical and physiological functions of a good or service. This theory creates a link between pleasure and the forms of artifacts, which embody their affordances.
As pointed out in Section 1, considering issues that lie beyond the rationalistic or utilitarian perspective is key to revealing potential opportunities to intentionally design user’s experiences with digital artifacts. Our annotation method aims to broaden our design scope by explicitly noting issues related to the pleasurable experiences of human and nonhuman agents to understand the potential opportunities within the related iterative design processes.
2.4 Annotated portfolio
Despite the recent progress that has been made in framing knowledge and finding better ways to communicate knowledge within research communities, an improved understanding of how design can generate new knowledge is necessary, as shown in Section 1. As we embrace more complex domain use cases such as those related to social innovation [16, 68] or the personalized fabrication of digital artifacts to increase their social impact, it becomes essential to explore strategies and methods for understanding how to design digital artifacts [67, 70, 89, 98]. In a museum, a curator arranges diverse pieces of art so that his or her audience can be aware of the essential ideological claims implicitly represented by the pieces by looking at them in the same place and at the same time [21]. This approach seems to be useful for considering the potential opportunities presented by artifacts, especially those presented by digital artifacts, which are highly complex in nature.
William Gaver and John Bowers’s annotated portfolio method provides a way to articulate the new knowledge gained from research-oriented design practice. They assert, “Beyond single artifacts, however, annotated portfolios may serve an even more valuable role as an alternative to more formalized theory in conceptual development and practical guidance for design. If a single design occupied a point in design space, a collection of designs by the same or associated designers – a portfolio – establishes an area in that space. Comparing different individual items can make clear a domain of design, its relevant dimensions, and the designer’s opinion about the relevant places and configurations to adopt on those dimensions.” [30].
The annotated portfolio method provides a means for revealing the resemblances and differences that exist in a collection of artifacts [10]. The method originally involved selecting a collection of artifacts, finding appropriate representations for them and adding brief textual and pictorial annotations to them. The method provides a way in which extracted insights and knowledge can be communicated publicly. William Gaver and John Bowers emphasize that there are many ways to create an annotated portfolio [30]. Some researchers use this method by summarizing the annotations in a body of academic papers [42] or sharing them between group members collaboratively [50]. The method has also been used as a form of reflection to discuss design choices made over time and to critique the progress of successful design ideas [90]. An annotated portfolio of material samples was used in the business model concept used to extract insights for development [78].
The value of learning by experience has been deeply studied within education communities. For example, David Kolb’s experiential learning theory identifies the process by which knowledge is created through the continual transformation and application of experience [60]. As indicated by Cathryn Hall [36], specific annotations can be framed through Kolb’s model, which is presented in four stages: the experience (stage 1) itself is followed by reflection (stage 2), then abstraction (stage 3) of insights, and finally experimentation (stage 4) involving what has been learned. on is employed to specify the details of the annotation. The annotation portfolio method spans two intermediate stages, reflection and abstraction, with reflection playing an important role in the annotation method as the designer is immersed in the user experience when designing reflectively using tacit knowledge [79, 85] and creative knowledge [14]. Following this reflection, abstraction was employed to specify the details of the annotation.
There are several previous studies that use the annotated portfolio method [17, 26, 63, 71]. In [17], the concept of the original annotated portfolio method is extended to include designs for new domains. In [41], they do this by creating an annotated portfolio that treats such research through design (RtD) artifact inquiries as postphenomenological inquiries, as according to John Zimmerman and Jodi Forlizzi [102], RtD is a discipline that has expanded design practices and processes to include general new knowledge. The concept of Design Exposès [26] intentionally lacks a designated “value” layer in the reflection part because the focus of this idea is more on the “utility” aspect of objects.
Our annotation method is influenced by David Kolb’s model, which is used to gain knowledge reflectively through an iterative design process to refine or customize digital platforms and to document their core abstract properties using annotations. By reviewing these annotations, designers and researchers can clearly identify the key knowledge extracted from their designs and use this knowledge for the refinement of their digital platforms. Our annotation method incorporates the perspective of sociomateriality to discuss the relationship between humans and nonhumans, explicitly making the gaps between them obvious to explore platforms’ potential opportunities beyond the rationalistic perspective from multiple angles involving pleasure.
3 A portfolio of digital platforms for collectively sharing eyes and ears
4 Human-material-pleasure annotation method
First, this section presents the early stages of our journey of using the Human-Material-Pleasure (HMP) annotation method. Then, we provide an overview of the method and the iterative design process that we used to refine and customize the digital artifacts.
4.1 Experiences with building knowledge through CollectiveEyes and CollectiveEars
To clarify the new knowledge gained from the design and research of these nine digital platforms over almost three years, we decided to identify and assemble the respective insights corresponding to each platform and organize them in annotated portfolios. By this phase, we had developed CollectiveEyes and CollectiveEars and conducted some user studies to extract insights revealing their potential opportunities. The poster style typically used in computer science conference presentations was adopted to present the related annotations to represent knowledge gained from the studies, as shown in Fig. 2 (larger images are found in Appendix 3.). The purpose of these annotations was to provide a concrete overview of the CollectiveEyes and CollectiveEars platforms, including not only their aims and basic functions but also the remarkable insights gained through their designs, observations of using the working prototypes, and the interviews that identified the most important concerns regarding their designs, interaction technologies, or use cases [52, 55].
The experiment described in [52] adopted especially immersive scenarios in which the participants felt that they used CollectiveEyes exceptionally well. Thus, the experiment successfully extracted the diverse merits and demerits from the perspective of the user experience. On the other hand, the experiment could not extract enough insights to explore novel use cases involving collectively sharing human eyes and ears. We thought that ordinary participants may think only of use cases from the narrow perspective of platform users; thus, it is not easy to obtain interesting novel use cases from them. Additionally, the participants tended to mainly consider useful purposes that could apply to daily life because these issues were familiar to most of them. Moreover, the ordinary participants involved did not suggest different interaction methods or using the platform for different purposes, and they did not consider using the platforms in the context of their other activities. One of the reasons for this is that the experiment offered immersive experiences, so it was difficult for the participants to imagine other situations in which they could use the platform during the experiment. Some insights, which were provided by a speculative designer’s expert analysis intended to extract the potential opportunities of CollectiveEyes in terms of new technologies and emerging social situations, were also reported in [52]. However, these extracted opportunities may significantly depend on the skill of this expert.
Thus, the above discussions reveal that a tool for broadening artifacts’ designed purposes, widening the scope of an experiment’s participants or even broadening the perspectives of speculative design experts is essential for exploring more opportunities. Most ordinary people are experts about their daily lives, but they are not able to identify and document the diverse issues affecting them. However, if a proper tool is offered to trigger their unconscious experiences, they may have the chance to explore additional diverse issues in their daily lives through their experiences. In particular, such a tool can help digital platform designers explore the hidden opportunities in the designs of their platforms, allowing them to broaden their perspectives and see these opportunities from various different angles.
4.2 An overview of the human-material-pleasure annotation method
The concept of values is a critical tool used to understand various aspects of digital artifacts such as digital platforms’ influence on people’s experiences [46, 97]. As conceptualized in Fig. 3, human sight and hearing are materialized as sharable abstract objects on our digital platforms, where the objects have inherent abstract values, enabling people to access these objects according to their values. This leads to the two concepts that we need to understand when considering values in the context of these platforms. The first concept relates to how a user who uses the platforms experiences concrete or abstract values through other people’s sight and hearing, and the second relates to how other people’s sight and hearing influence a user’s experience. The related values are essentially determined by the design of the embodied values, not the intrinsic values [97], so carefully thinking about both factors is essential for designing values that make a user feel that materialized human sight and hearing is meaningful.
According to the first concept, the values of human sight and hearing can be investigated from the human perspective by understanding each user’s goals for using the platforms and constructing his/her experience in terms of the definition presented in [39]. Therefore, first, identifying the domain use cases of the platforms is essential, and then their possible values can be investigated in terms of achieving the goal of a satisfactory user experience. According to the second concept, the values of human sight and hearing can be investigated from a nonhuman perspective by understanding the influence of nonhumans, in this case, digital platforms, on a user. Digital platforms consist of a set of abstract objects that can be used to build a variety of services or interactions with users [49], and the abstract objects construct the affordances of the nonhumans (in our case, digital platforms), which determine their interactions with their users or the construction of the services they offer; Paul Leonardi asserted that affordances are constructed through human and nonhuman (material) agencies [66]. As presented in [11, 13, 15, 88], the nonhuman perspective provides a promising way to expand our current perspective, broadening them to exploit the hidden opportunities of digital artifacts. The annotated portfolio described in Section 2.4 seems to be a promising tool that could be used to document the values that represent the abstract qualities of digital platforms according to these two concepts, revealing the potential opportunities of these digital platforms and enabling us to refine them based on the revealed opportunities.
To investigate the abstract qualitative aspects of the digital platforms, our annotation method for documenting annotated portfolios, named the human-material-pleasure (HMP) annotation method, involves choosing two disciplines to represent the human and nonhuman aspects of the platforms. The first discipline, sociomateriality, which was explained in Section 2.2, makes us think of the influences of the digital platforms on people and their surroundings from both human and nonhuman (material) perspectives. Figure 4 presents a basic approach for annotating the platforms based on this discipline, where the two perspectives are explicitly represented as domain and interaction perspectives and the annotations classified according to these perspectives are called domain annotations and interaction annotations. The domain annotations with “Domain” labels are used to identify the digital platforms’ domain use cases that address the goals of their users. The interaction annotations with “Interaction” labels are annotations that correspond to the interaction methods offered by the digital platforms that can be used to communicate with users or offer services. Our use of these “Domain” and “Interaction” annotations is greatly inspired by the work of [17], whose aim is to discuss a new domain of digital artifacts. One of the most important contributions of the HMP annotation method is the explicit introduction of both of the perspectives in the visually structural annotation method.
The second discipline is the four-pleasure framework shown in Section 2.3. The four-pleasure framework makes it possible to classify the aforementioned abstract values into four categories: physio-, psycho-, socio-, and ideo-pleasure. Based on the domain and interaction annotations, we identify the potential values of the digital platforms. Then, these values are categorized according to the four types of pleasure and described through annotations called pleasure annotations. Each pleasure annotation is also labeled either human or material. The annotations labeled human are called human annotations, and those that are labeled material are called material annotations; we use the term human/material annotation to refer to both types of annotations.
Figure 5 shows a template that visually represents annotations based on the HMP annotation method. In explaining this template, we use the term “artifact” rather than “digital platform” in this subsection because this annotation method can be used for diverse digital artifacts corresponding to a broader category than that of digital platforms. Each artifact has its own type of annotation according to the template, so a single portfolio would contain multiple annotations for each of its digital artifacts. At the top left of each annotation, the name of the corresponding artifact is shown. The red interaction annotation contains a list of annotations categorized according to the interaction methods used in the corresponding artifact, and the green domain annotation contains a list of annotations categorized according to the potential domain use cases of users. The background of each artifact’s annotation also contains several visual images of the artifact. The pleasure annotation contains a list of annotations for each of the four pleasures and assigns different colors to them to make them visually obvious. Each material annotation belonging to the four pleasures is assigned a label, namely, “MPh”, “MPs”, “MSo” or “MId”, which stand for “Material Physio-pleasure”, “Material Psycho-pleasure”, “Material Socio-pleasure”, and “Material Ideo-pleasure”, respectively. Similarly, each human annotation is assigned a label, namely, “HPs”, “HPh”, “HSo” or “HId”, which stand for “Human Physio-pleasure”, “Human Psycho-pleasure”, “Human Socio-pleasure”, and “Human Ideo-pleasure”, respectively.
The classification shown in Table 1 provides basic explanations of each of the types of pleasure from both the human and material perspectives.Footnote 5 Each pleasure annotation labeled “human” basically represents the physical and mental experiences offered by the artifact to users, and each annotation labeled “material” represents the core abstract objects that construct the affordances of the digital platforms that enable services to be built. In the following section, we provide a brief summary of the meaning of each classification in the table.
“HPh: physio-pleasure” represents people’s essential physical activities that are incorporated into an artifact’s HMP annotations. “HPs:psycho-pleasure”, “HSo:socio-pleasure” and “HId:ideo-pleasure” represent individual, communal and collective user experiences, respectively, and these experiences represent the core human factors offered by the artifact. The use of “HId:ideo-pleasure” rather than “HPs:psycho-pleasure” or “HSo:socio-pleasure” as a user experience’s annotation indicates that the experience is focused on collective human experiences.
“MPh: physio-pleasure” refers to abstract objects that are implemented as core abstractions to virtualize the physical objects in an artifact and construct an affordance that provides various services and user interactions.Footnote 6 “MPs:psycho-pleasure”, “MSo:socio-pleasure” and “MId:ideo-pleasure” refer to abstract objects that construct affordances to influence individual, communal or collective user experiences. The difference between “MPs:psycho-pleasure” and “MSo:socio-pleasure” is that “MPs:psycho-pleasure” focuses on an artifact’s affordances that influence individuals and “MSo:socio-pleasure” focuses on the affordances that influence people communally. “MId:ideo-pleasure” specifically describes the core ideological concepts related to designing affordances that influence people collectively, and these concepts are related to the ideological goals identified in the domain use cases of an artifact.
“MPh: physio-pleasure” is different from the other material annotations because this annotation represents virtual objects related to the physical world. The essential characteristics of this annotation can be explained as virtuality incorporated into the real world. In [46, 82], the authors present various examples of digital/physical hybrid objects that do not actually exist, but people feel that they truly exist in the real world. This concept is useful when considering logical objects that are not seen in the real world, such as the institution mechanism explained in [46]. These digital/physical hybrid objects are considered core affordances that can be used to build digital platforms. In this paper, we limit the scope of our annotation to represent human sight and hearing, but the potential power of this annotation can be exploited in the future, extending the use of the HMP annotation method to more diverse settings.
4.3 Iterative design according to the HMP annotation method
Figure 6 shows the iterative design process that we use to refine our digital platforms with the HMP annotation method. During the design process, we first investigate the platforms’ essential properties in terms of domain and interaction annotations. Basically, a list of domain annotations is created by understanding the goals of the platforms, and then the derived human annotations are investigated by examining the potential values in the related user experiences. A list of interaction annotations is created by investigating the interaction methods that could possibly be used to communicate with users or to offer services, and then their derived material annotations are used to specify the abstract objects needed to implement the interaction methods for users and services. One important aspect of the HMP annotation method is that we can identify potential pleasures by comparing them to other respective pleasures. During the design process, we can also compare the annotations of different digital platforms, where the aspect is the most important in annotated portfolios. This exploration may help identify unnoticed potential opportunities of the digital platforms. Then, we can rethink the domain and interaction annotations by revealing these unnoticed pleasures. Finally, we reinvestigate the pleasure annotations based on the reexamined domain and interaction annotations. During the refinement process, we mainly focus on the interaction annotations, and during the customization and refinement process, we mainly focus on the domain annotations.
Figure 7 shows an example of the design process that we use to develop the digital platforms in our portfolio. We first design CollectiveEyes and CollectiveEars through several iterations. After these platforms are designed and evaluated, we develop their annotations using the HMP annotation method. Then, CollectiveEyes is refined to Ambient CollectiveEyes to incorporate diverse presentation methods as new interaction methods, and CollectiveEyes is also refined to Gamified CollectiveEyes by identifying the values in shared human sight. CollectiveEars is refined to Artful CollectiveEars by exploring the interaction method of theme channels. During the refinement process, by considering the pleasure annotations, we identify additional potential opportunities, which are presented in the next section. The remaining digital platforms are customized versions of CollectiveEyes and CollectiveEars, and they each offer a single specialized service developed through examining the domain annotations. By focusing on the aspect of wellbeing, CollectiveEyes is customized to create Gathering Happy Moments, and by focusing on the aspect of social watching, this platform is customized to form Citizen Science with Dancing. By focusing on the aspect of hearing sound as music, CollectiveEars is customized to create Mindful Speaker, and by focusing on the aspect of nonhuman agency, it was customized to create Ambient Sounds Memory. In the next section, we provide a detailed explanation of how the platforms are customized based on the HMP annotation method.
5 Iterative refinement or customization with annotations based on the HMP annotation method as design case studies
This section provides more details about our experiences with refining or customizing the digital platforms. In our journey, we argued that the crafting and studying of digital platforms should be framed as engaging in philosophy through artifacts. We did this by creating an annotated portfolio of research through design (RtD) artifacts [33]. This section presents our true experiences of working with the HMP annotation method.Footnote 7 We believe that our documented experiences validate the proposed method’s ability to enable explorations of the potential opportunities of digital platforms.
5.1 CollectiveEyes and CollectiveEars
Figure 8 presents the annotations based on the HMP annotation method for CollectiveEyes, and Fig. 9 shows the annotations for CollectiveEars. The annotations “Human Sight as a Material” and “Human Sight is a Material” were the most essential core material annotations representing physio-pleasure that can be used to construct the affordance of human sight and hearing, and these annotations were replicated in all the other digital platforms in our portfolio. The annotations “View Classification with Keywords/Location” in CollectiveEyes and “Sound Classification with Situations” in CollectiveEars were the core material annotations representing physio-pleasure that could be used to construct the affordance of basic user interactions that classify human sight and hearing according to the classification policy selected by a user, and these annotations were refined in each platform to incorporate the new opportunities found in the other platforms.
In CollectiveEyes, the core human annotations were “Experiencing Diverse Human Sight”, which represented psycho-pleasure, and “Experiencing Diverse Cultures”, which represented socio-pleasure; in CollectiveEars, the core human annotations were “Experiencing Diverse Human Hearing”, which represented psycho-pleasure, and “Experiencing Diverse Culture”, which represented socio-pleasure. These annotations were replicated in the other platforms so that leitmotif user experiences could be offered. Additionally, in CollectiveEyes, the core material annotations were “Diverse View Presentation”, which represented psycho-pleasure and “Diverse Human Sight Collection”, which represented socio-pleasure; in CollectiveEars, the core material annotations were “Diverse Sound Presentation”, which represented psycho-pleasure, and “Human Hearing as a Material”, which represented socio-pleasure. These annotations were replicated in the other platforms, but refining the properties of these annotations according to the respective platforms was essential in the design process. Identifying core material annotations was the most important part of the design process because these material annotations made the core abstract properties of the platforms stand out among complex platforms.
The annotations of CollectiveEyes and CollectiveEars were created after exploring their potential opportunities, as shown in [52, 55]. In this early phase, as explained in Section 4.1, we were just interested in the potential of using others’ eyes and ears. Then, we started to investigate the potential domain use cases of this concept, and many annotations were created during this investigation. While investigating the annotations, we especially focused on the aesthetic aspects identified in through our previous work and literature reviews [73, 93]. These aspects appeared more explicitly in later platforms and became an important leitmotif of the platforms, although they were implicitly represented in the “World Landscape” and “Soundscape” domain annotations of CollectiveEyes and CollectiveEars.
The human annotations “Watching the World” and “Hearing the World” were labeled ideo-pleasure because these annotations strongly influence humans’ ability to think. Our interviews with the participants of the experiments regarding CollectiveEyes revealed that the possibility of enhancing people’s thinking abilities is important [52]; thus, we introduced “Thinking about the World” and “Diverse and Reflective Thinking” as domain annotations. The domain use cases are explicitly presented in the pleasure annotations as “Enhancing Thinking Abilities” and “Defamiliarization”, which represent ideo-pleasure. The reason that we categorized “Defamiliarization” as a material annotation is that we believed that “Defamiliarization” was the platform’s affordance for ideologically influencing humans collectively. Additionally, these annotations became core leitmotifs of our platforms related to exploring opportunities that redefine human sight and hearing. For example, in Gamified CollectiveEyes and Artful CollectiveEars, “Valuing Human Sight” and “Valuing Human Hearing” appeared as new interaction annotations related to making people more conscious of their current sight and hearing. This investigation strongly influenced the expansion of these platforms’ new opportunities.
Investigating the interactive annotations allowed us to explore various new opportunities offered by the platforms. The “Virtual Traveling” domain annotation of CollectiveEyes represented certain typical domain use cases. This domain annotation introduced the human annotation “Experiencing Others”, which represented psycho-pleasure through the interaction annotation “Body Ownership”. This approach is similar to that of KinecDrone [45], which controls a drone’s field of vision through a user’s body gesture. This case clearly shows an example in which introducing a new interaction method expands the scope of a domain use case to offer a new user experience. Similarly, the “World Sound Listening” domain annotation of CollectiveEars was an important domain use case allowing a person to experience “Hearing the World”, which was a human annotation representing ideo-pleasure. Regarding interaction annotations, the theme channel interaction method of CollectiveEars was one of the most important interaction methods of our digital platforms. The use of interaction method was first proposed for CollectiveEars, and the method was used as a core interaction method to refine our platforms. In particular, the material annotation “Sound Classification with Situations”, which represents physio-pleasure, was a key interface of CollectiveEars that used theme channels. We refined this annotation in other platforms by enhancing their theme channels.
Regarding the annotations shown in Figs. 8 and 9, the following four points, which focus on demonstrating the merits that we found while creating the annotations, also need to be made. The first point is that focusing on the four pleasures offered an opportunity to consider hidden aspects in our design. For example, while in the first stages of developing the platforms, we did not strongly focus on the socio-pleasures that could be offered through them. This finding made us aware of the need to exploit socio-pleasure during the refinement process, and these experiences were actually reflected in the design of Ambient CollectiveEyes and Artful CollectiveEars.
The second point is that there was a need to compare the annotations among the platforms. For example, in developing CollectiveEyes, we focused on the human annotation “Experiencing Others”, which is designed to offer the feeling of becoming others. On the other hand, in CollectiveEars, we did not focus on this annotation. While investigating the annotation, we realized that it would be hard to achieve in CollectiveEars, but we found that the human annotation “Feeling Others” in Artful CollectiveEars offered an opportunity to offer the experience of feeling what others felt; thus, the refinement revealed a new social opportunity.
The third point is that CollectiveEars has a few domain annotations, which means that we found a few domain use cases during the beginning stages of designing CollectiveEars. After designing CollectiveEyes, we thought that it would be interesting to develop a digital platform that was focused on only collectively sharing human hearing. Therefore, CollectiveEars was developed by extracting interaction methods from created scenarios in certain situations [55]. A small number of domain annotations indicated that we had the opportunity to investigate more pleasures and find new domain use cases for CollectiveEars. We especially focused on ideo-pleasure to find new possibilities, and this investigation was reflected in the refined design of Artful CollectiveEars, as shown later.
The fourth point is that there was no physio-pleasure from the human perspective in the annotations reviewed thus far. CollectiveEyes and CollectiveEars were used in virtual spaces, so a user did not need to physically move to access others’ current sight and hearing. However, incorporating physio-pleasure could offer promising opportunities for enhancing human wellbeing. Physical movement is a key part of a healthy society. By offering the location information of others’ current sight and hearing, the platforms could encourage users to consider going to see or hear the things that others are currently seeing and hearing if the locations are not too far from them.
5.2 Ambient CollectiveEyes
Ambient CollectiveEyes was designed by refining CollectiveEyes, and the highlights of this platform were the two interaction annotations “The Agency of Sight” and “Nonhuman View”, which were developed through the refinement process. Figure 10 shows the annotations of Ambient CollectiveEyes.
The first refinement made was related to redefining human sight based on “The Agency of Sight” annotation through virtualizing human sight as a material. When a user accessed other people’s current fields of vision, CollectiveEyes presented these fields of vision to the user without presenting any information about the people who were offering those views. However, this meant that the user did not feel the agency of the other people who were offering their current fields of vision. Therefore, accessing others’ current fields of vision was the same as watching videos from a camera. In Ambient CollectiveEyes, a person’s current emotions were represented in his/her field of vision to convey his/her agency. A number of people who shared the same field of vision could also view it ambiently in their current field of vision, enabling them to enjoy the feeling of collective sight.
The second refinement was based on the “Nonhuman View” annotation. By using materialized human sight, CollectiveEyes could easily combine other views, such as views from cameras in cities or views from the perspective of animals, fish or even insects. Such views from nonhumans offered new perspectives to people, so they had an increased possibility of enhancing their thinking through the defamiliarization effect; this annotation was listed among the annotations of CollectiveEyes, but its effect was strengthened in Ambient CollectiveEyes by the addition of nonhuman perspectives. Thus, we could investigate new potential opportunities related to the “Diverse View Presentation” material annotation. To incorporate nonhuman visual views, we introduced a new interaction method called ambient photomontage [56], which was related to the “Diverse View Presentation” annotation. This method offered a new viewing function that superimposed multiple people’s current fields of vision on the scene that a user was viewing. Additionally, this method offered a timescape option that spatially represented time-dependent views. The ambient photomontage method was also essential to refining human sight capabilities, as it layered diverse views from both humans and nonhumans on a user’s current field of vision, thus defamiliarizing human sight. The material annotation “Defamiliarization” was carried over from CollectiveEyes, but its effect was enhanced, enabling us to incorporate the material annotation “Redefinition of Human Sight”, which represented ideo-pleasure.
In Ambient CollectiveEyes, a new domain annotation named “Collective Seeing” was introduced by investigating a new opportunity of CollectiveEars (Similarly, Collective Hearing was incorporated into Artful CollectiveEars.). This addition allowed Ambient CollectiveEyes to incorporate more socio-pleasures like the human annotation “Feeling Others”, and the more ideological perspective of “Seeing Collectively” was added as an ideo-pleasure. For example, explicitly incorporating values allowed a user to feel the sentiments of others. Additionally, a user could continue to access the sight of one specific person, and that view could be shared by multiple users. Thus, a user could see the same sights as others, thus human sight could become collective. Additionally, by focusing on the material annotations “Diverse View Presentation” from the perspective of physio-pleasure, human sight could be presented on physical screens such as [101] instead of 3D virtual spaces.
5.3 Gamified CollectiveEyes
Gamified CollectiveEyes was also designed by refining CollectiveEyes. In this refinement, the new main focus of the platform was to investigate the potential of the interaction annotation “Valuing Human Sight” in terms of incorporating gamification strategies into CollectiveEyes. Figure 11 presents the annotations of Gamified CollectiveEyes.
To increase the number of human fields of vision offered, Gamified CollectiveEyes increased people’s motivation to offer their current fields of vision to others. To incorporate human motivation, we focused on the material annotation “Diverse Human Sight Collection”. To access other people’s current fields of vision, a user needed to specify the values of his/her current view. In Gamified CollectiveEyes, the value of a user’s current view was assigned by the user, and as presented later, the interaction annotation “Valuing Human Sight” became a key factor of exploring the new opportunities of the platforms, where assigning respective values to people’s current views was done according to their judgment. We first focused on a gamification strategy to encourage people to tag the views that they were offering with the corresponding values. Gamified CollectiveEyes incorporated game mechanics that were intended to facilitate social engagement to encourage competition with others to collect more human fields of vision. A leaderboard for comparing users’ scores was introduced as an abstract object, which was related to the material annotation “Social Engagement”, and this feature offered an affordance that enhanced socio-pleasure. To allow access to human fields of vision according to each user’s expectations, the platform needed to collect a large number of views. Additionally, ensure the success of Gamified CollectiveEyes, its participants needed to offer the fields of vision that the platform needed to satisfy various users’ preferences related to human fields of vision. This gamification strategy required people to physically move to find and offer the fields of vision that the platform needed to increase their scores on the leaderboard. This case provided an example of explicitly incorporating physio-pleasure from the human perspective, which is related to the human annotation “Moving Physically”.
The interaction annotation “Valuing Human Sight” also offered new opportunities to refine the platforms’ affordances for with user interaction. While designing Gamified CollectiveEyes, we introduced the theme channel concept from CollectiveEars and the opportunity to refine human sight capabilities from Ambient CollectiveEyes. In Gamified CollectiveEyes, refined theme channels called object-based theme channels and value-based theme channels were introduced. This was represented as the material annotation “View Classification with Things”. The object-based theme channel could explicitly specify things that appeared in people’s current fields of vision. The value-based theme channel could access specific human fields of vision through selecting people’s current views according to abstract values. This was represented as the material annotation “View Classification with Values”. The difference between the keyword or location searches used in CollectiveEyes and the theme channels used in Gamified CollectiveEyes was that the keyword or location function allowed users to attach any keywords or locations to their current views, so the number of channels would change in an ad hoc way according to the number of keywords or locations being used. On the other hand, the object-based and value-based theme channels each comprised a fixed number of channels, which were defined in the platform. This approach to classify the human fields of vison was important because all the human fields of vision were classified according to a fixed number of categories, which made the matchmaking process between a theme in the theme channel and a user’s value tags easy. The theme channel interaction method was very powerful because a user could specify abstract themes such as an aesthetic theme. Additionally, since the description of a theme could be abstract in Gamified CollectiveEyes, a user could find serendipitous fields of vision because the ambiguity allowed by an abstract description could include unexpected views [54].
Gamified CollectiveEyes adopted conscious sight through allowing users to tag their current fields of vision with values, thus increasing users’ opportunities to enhance their thinking abilities [54]; indeed, by explicitly tagging their views, people become aware of what they are currently seeing and consider the appropriate values for their current views, as shown in Section 5.1. The human annotation “Seeing Consciously”, which represents ideo-pleasure, was added to Gamified CollectiveEyes to reflect this investigation.
5.4 Artful CollectiveEars
Artful CollectiveEars was designed by refining CollectiveEars. Figure 12 shows the annotations of Artful CollectiveEars. The refinement of CollectiveEars to Artful Collective Ears was mainly focused on the investigation of the potential opportunities of the theme channel system introduced in CollectiveEars.
During the refinement process, we especially focused on the concept of art as briefly mentioned in Section 5.1, where we specified the domain annotation “Art”. In this investigation, our focus was to explore the flexibility of the theme channel system. In Artful CollectiveEars, six theme channels were defined to select the sounds that would be presented to a user; these channels were based on our investigation of incorporating artful user experiences. The material annotation “Sound Classification with Values” was obtained by refining the material annotation “Sound Classification with Situations” of CollectiveEars through adapting the theme channel system to offer only natural sounds.
The domain annotation “Collective Hearing” was proposed through another investigation of the opportunities offered by the theme channel system. We focused on the human annotation “Feeling Others”, which represented socio-pleasure in a similar way as Ambient CollectiveEyes represented this aspect, namely, users would know that someone had explicitly assigned the sounds that they were hearing to a specified theme channel, and they could imagine the current feelings of the people who were offering these sounds. The domain annotation “Collective Hearing” enhanced the artful aspect of Artful CollectiveEars because users could hear the same sounds as other people; however, these sounds could be changed by anyone, and users could listen to these continuously changing natural sounds like music. Thus, we considered the above features the platform’s nonfunctional properties, and the related annotation was labeled ideo-pleasure from a material perspective.
As we had done in the cases of Ambient CollectiveEyes and Gamified CollectiveEyes, we investigated the possibility of redefining human capabilities with Artful CollectiveEars. People usually hear their surroundings unconsciously. Only when sounds contain strong stimuli, such as those that indicate risk or arouse curiosity, do people listen consciously. Therefore, people are usually not aware of a variety of issues in the real world due to this unconscious hearing. However, if a user needs to assign classification tags to the sounds that he/she is currently hearing, he/she becomes more conscious of the sounds currently surrounding him/her. In particular, if a user wants to offer better audio to Artful CollectiveEyes, he/she needs to be careful to find good sounds near him/her. Adding the material annotation “Human Hearing Redefinition”, which represents ideo-pleasure and was adopted from Gamified CollectiveEyes, offered us the opportunity to investigate a new design possibility.
The human ideo-pleasure annotations in Artful CollectiveEars may offer new opportunities if the annotations usually labeled socio-pleasure are reconsidered. For example, the human annotation “Hearing Collectively”, which was labeled an ideo-pleasure in the platform, was based on the assumption that sounds are collectively heard by everyone because, at this point, we assumed that Artful CollectiveEars offered artful user experiences to many audiences. However, if sounds are delivered in a physical space, the people who are in that space can hear the same sounds, and they can enjoy the sounds together. This investigation allowed us to explore additional opportunities to apply this idea in a new platform called Mindful Speaker.
5.5 Reflection on iterative design process with HMP annotations
In this subsection, we divide our journey, which was described in the previous subsections and Appendix 2, into four categories based on our experiences with iteratively designing the abovementioned digital platforms according to the HMP annotation method. The first category is related to examining the four pleasures one by one to investigate the role of each pleasure in each platform. In particular, after creating each platform’s annotations, we examined the pleasure annotation that did not clearly appear to be included in the platform’s annotations. For example, after creating the pleasure annotations for CollectiveEyes and CollectiveEars, we reinvestigated the role of socio-pleasure in these platforms; thus, we explored the role of socio-pleasure in Ambient CollectiveEyes and Artful CollectiveEars as shown in Sections 5.2 and 5.4.
The second category concerns the relationships among the different pleasure annotations. After specifying each pleasure annotation, we sometimes considered which pleasure was appropriate for the annotation. In particular, when we focused on user experiences, we considered whether each experience was more suitable for an individual, a communal or a collective setting. Usually, we first focused on the psycho-pleasure entailed in the user experiences, but after that, if we found that the annotation could be used for a communal user experience, we shifted to examine the socio-pleasure of that annotation; similarly, if the annotation could be used for a collective user experience, we shifted to examine the ideo-pleasure of the annotation. For example, when developing Gathering Happy Moments, the pleasure annotations were useful in considering the balance needed to classify positive user experiences into individual, communal or collective categories. The balance was significantly important to offering better positive memories while taking into account diverse user experiences, as shown in Section B.1. As shown in Section B.2, we discussed how reconsidering each pleasure offered new possibilities in the case of Citizen Science with Dancing. Additionally, we discussed how physical space influenced the pleasures offered by Mindful Speaker in Section B.4.
The third category concerns the human and the material labels for each pleasure annotation. We mainly considered an annotation to be a human annotation if it was related to the user experience, and we labeled it as a material annotation if it was related to the abstract objects comprising the affordances for users or services. Exploring new human annotations offered opportunities to investigate new domain annotations, and investigating material annotations offered opportunities to investigate new affordances that could be offered on the platforms. Additionally, focusing on the material perspective allowed us to explore the nonhuman perspective. For example, when developing Ambient CollectiveEyes, we explored the possibility of incorporating nonhuman views to offer views that were more diverse than those that humans see, as shown in Section 5.2. Similarly, when designing Ambient Sounds Memory, we ascribed agency to physical objects in the context of decorating a living room, as presented in Section B.3.
The fourth category is related to investigating the pleasure annotations of the different platforms. By comparing the annotations among the different platforms, we were able to find new opportunities related to each platform. In particular, by comparing the platforms’ human/material annotations, it was possible to find potential opportunities that allowed us to exploit alternative interaction methods or novel user experiences. Additionally, by comparing the pleasure annotations of different artifacts, it was possible to find more potential opportunities related to the platforms. For example, by comparing the annotations of CollectiveEyes and CollectiveEars, we found new opportunities for CollectiveEars, as shown in Section 5.1 Additionally, as shown in Section 5.3, Gamified CollectiveEyes was influenced by CollectiveEars through our investigation of the classification of human views through the theme channel.
6 Using the HMP annotation method in a wearable robotic device project
In the previous section, we mainly focused on how the HMP annotation method is used to refine digital platforms that allow human eyes and ears to be shared. In contrast, this section focuses on how the HMP annotation method can be used in the context of another type of digital artifact, wearable shape-changing robotic devices. These artifacts have significantly different characteristics from those of our digital platforms, which have concrete, physical characteristics. The purpose of this section is to discuss a researcher who did not know the HMP annotation method before analyzing the opportunities presented by the artifacts developed in his project, and we investigate how he felt when using the HMP annotation method and how he used the method in his project to create annotations of the artifacts that he had developed. The investigation reveals additional insights regarding the HMP annotation method from an alternative angle. Also, the insights described in this section make the validation of the HMP annotation method more objective through the multiple angles to use the method conducted in significantly different contexts.
We hired a postdoctoral researcher and asked him create annotations using the HMP annotation method for the artifacts that he had created in his past projects. The reason that we chose the person is that he was working on wearable shape-changing robotic devices that were very different from our digital platforms. As shown in Fig. 13, he has developed three artifacts. Orochi is a snake-like wearable robot that can be used as additional human arms [1]. HapticSnakes is a robotic feedback device for virtual reality (VR) applications [2]. WeARable includes augmented reality (AR) technologies, which are used to control wearable robots [96]. Initially, we gave an approximately one-hour lecture comprising an overview of the HMP annotation method and its background. Then, we provided some example annotations from our digital platforms as concrete examples. We gave him approximately one month to evaluate his artifacts with the HMP annotation method. One month later, we had another meeting to discuss the final annotations that he had created for his artifacts and interviewed him to document his experiences using the HMP annotation method to explore new potential opportunities for his artifacts.
In the following subsections, we first report this individual’s experiences using the HMP annotation method to create annotations for his artifacts. We are especially interested in how he was able to reveal the previously unexploited aspects of his projects and find new opportunities by using the HMP annotation method. This aspect is very interesting because he developed these artifacts through his doctoral research projects, so we thought that he had already explored various opportunities before preparing his final doctoral dissertation. Finally, we present our thoughts on the annotated portfolio that he created, providing additional insights into the HMP annotation method.
6.1 Experience with using the HMP annotation method
In our interview with the researcher, he first pointed out some difficulties that he encountered while investigating his artifacts using the HMP annotation method. The first difficulty he pointed out was that it was not easy to find a proper starting point to document the annotations. He said, “It would be helpful to have a guide on how to start creating annotations.” The second difficulty was that it was hard to find new ideas for improving the existing artifacts. He said, “The approach is more suitable for building a new artifact based on the insights found while investigating the annotations of existing artifacts.” In particular, he pointed out that considering the socio-pleasures of his existing artifacts became a source of new ideas for creating new artifacts. The third difficulty was that he needed to spend much time considering the assignment of the respective pleasures to his annotations. He said, “I needed to reconsider my assignments of the pleasures to the respective annotations, and I went back and forth several times.” From his statements, we found that we need a good guideline to help establish a process to create the annotations. However, we should be careful how the guideline specifies the details of the process because ambiguity is an essential resource for finding diverse opportunities, as pointed out in [32]. In particular, the researcher claimed that he needed to spend time investigating the pleasures, but this time-consuming process is essential to finding sufficient opportunities. He also pointed out that he was not familiar with investigating socio-pleasure and ideo-pleasure in his studies, but we believe that these unfamiliar pleasures were good resources with which to find more opportunities.
During our interview with this researcher, we found that he did not understand pleasure from a material perspective very well. We thought that this was mainly due to the nature of his artifacts. His artifacts have concrete, physical forms. In contrast, our digital platforms are logical infrastructures, where psycho-pleasure is represented through material annotations; thus, this issue is caused by his artifacts’ physical forms. Therefore, we thought that he had difficulty clearly distinguishing between the affordances of physio-pleasure and those of psycho-pleasure in his artifacts. Additionally, wearable devices are usually used by only one person, so it is difficult to imagine affordances related to socio-pleasure and ideo-pleasure in the context of his artifacts. However, as pointed out in Section 6.3, this issue also becomes a resource that reveals unnoticed potential opportunities. Therefore, we understood that the teaching aspect of our proposed method is a very essential issue, and this should be a future research direction.
6.2 Exploring potential opportunities through annotated portfolios
From our interview with the researcher, we found that he had extracted several insights through his analysis based on the HMP annotation method. In this investigation, he mainly found new insights related to human annotations that represent socio-pleasure. He said, “If a robot is trustworthy, it can boost the self-esteem of its users, decrease their dependence on others for unfamiliar physical activities, and alter their lifestyles to focus only on what matters.” Additionally, he pointed out, “A robot can be used as a partner to reduce loneliness, both physically and nonphysically.”, and “A robot can be used as an advisor to train new skills, to learn how to operate something, etc. In this context, the robot takes the lead and a user follows.” These opinions of his provided strong evidence that the HMP annotation method was useful in his investigation.
Currently, smartwatches are becoming popular for enhancing individuals’ social activities [77]. The researcher’s investigation also uncovered a new opportunity related to his project involving smartwatch enhancement through examining social pleasure. He described a new idea called Actuatch, which is a robotic smartwatch hybrid device. Actuatch offers users the ability to wear an appendage that physically interacts with the world without compromising their bodies. A smartwatch’s social abilities facilitate physical companionship with others and convey the physical feelings of remote users. Actuatch enhances these abilities with a small shape-changing snake-like form. The smartwatch’s capability allows a user to convey his/her emotion. Additionally, the snake-like form of the appendage physically interacts with the user and his/her surroundings; thus, Actuatch offers new opportunities for social interaction by enhancing a traditional smartwatch. This newly found opportunity provided strong evidence that the HMP annotation method is effective in terms of revealing potential opportunities to develop new ideas.
6.3 Reflection from an alternative angle
This subsection discusses our reflection on the annotated portfolio that the researcher developed for his artifacts. The insights extracted from this reflection are categorized according to the following two group. The first group of insights helps us understand the hidden intentions in his development process and suggests that he continues to develop his future research roadmap. We first analyzed each artifact’s annotation in the annotated portfolio. We found that the most basic artifact in his project was Orochi, and we investigated the potential opportunities of this snake-like shape-changing device. While developing Orochi, the researcher conducted several workshops to extract its potential use cases. However, it is hard to use Orochi as a general-purpose artifact or to use it according to all the extracted use cases in its current state because of its lack of functionalities. However, we understood that he developed a customized version of Orochi named HapticSnakes, which is a specialized haptic feedback device for VR applications, and he had implemented the necessary functionalities for that purpose. Thus, he could demonstrate the potential opportunities of Orochi as a practical working artifact. Additionally, we found that he had used WeARable to refine Orochi, adding an AR control interface. This interface represented a concrete affordance that the researcher provided enabling users to understand how to control his artifacts.
From this reflection, we understood that he could customize Orochi for another use case similar to HapticSnakes by adding the necessary functionalities, which he would be able to practically develop for that use case. Additionally, he would be able to add another interaction method, such as a voice-based command or a gaze-based control interface, to enhance this artifact according to the requirements of a given use case. This analysis indicated that he should create each artifact for a specific use case, and he should not develop general-purpose artifacts. This discussion clarified the future roadmap of his research direction and indicated that he should create annotations for each new refined artifact to clarify the use case of the artifact.
The second group of insights helps us clarify the role of the material annotations of each pleasure. In this reflection, we focused on the material annotations in the annotated portfolio that the researcher created. The most crucial core material annotation was Snake-like Shape-Changing Artifact”, which represented physio-pleasure. This annotation was replicated in all his artifacts as a core abstract affordance. WeARable featured a refined affordance adopted from Orochi that enabled a user to understand how to take advantage of its shape-changing nature based on his/her intentions. This affordance represented a material annotation related to psycho-pleasure because the annotation clarified the interaction affordance of the snake-like shape-changing device from an individual perspective. While investigating the potential opportunities of Orochi, the researcher also suggested that this artifact could be used as a teleoperation robotic device, where a user would cooperate with a remote operator who would control the shape-changing device with an additional two arms that would be mounted on the user. The additional artificial arms would operate cooperatively with the user’s real arms to perform a specific task. The combination of human arms and robotic arms added a new affordance to his artifacts that represented a material annotation related to socio-pleasure.
Finally, another new opportunity that was uncovered in the interview was discovered by assuming that a group of people could equip these snake-like shape-changing devices as additional arms and that the devices could be shared by anyone. This concept is closely related to CollectiveEyes and CollectiveEars, but in this case, people would share others’ mounted robotic arms instead of their eyes and ears. These sharable arms represented a new affordance and the development of an innovative service that would allow a user to teleoperate tasks anytime and anywhere, enabling users to perform tasks where the people who are wearing the arms are located. This innovation may enhance people’s physical abilities, and enable us to investigate additional ideological use cases. This investigation clarified the material annotation representing ideo-pleasure. These annotations allowed us to investigate opportunities to consider a collective aspect of these artifacts that had not been investigated before. The above discussion helps us to clarify the distinctions between the material annotations of different pleasures.
7 Reflection on our experiences and future direction
In this section, we discuss six topics that were identified through our reflection on the experiences that we had while on our journey of working on the nine digital platforms. Our discussions of these topics identify some future directions provided by the current study.
7.1 Iterative design process: Seeds or needs driven?
During our journey of designing the nine digital platforms, we focused on refining new platforms based on the previous digital platforms. As pointed out before, Ambient CollectiveEyes and Gamified CollectiveEyes were refined from CollectiveEyes, and Artful CollectiveEars was refined from CollectiveEars. Additionally, Gathering Happy Moments and Citizen Science with Dancing were customized from CollectiveEyes, and Ambient Sounds Memory and Mindful Speaker were customized from Artful CollectiveEars.
However, we actually considered both refinement and customization simultaneously in each iterative design process so that the two processes were not clearly distinguishable when we designed new platforms. To explore potential opportunities, our basic strategy was to focus on the material aspects of the platforms first. For example, the annotations “Nonhuman View” and “Diverse View Presentation” were typical examples of the refinement of Ambient CollectiveEyes. However, “Collective Seeing” was proposed as a novel domain use case and it was used for customizing the functionality of CollectiveEyes and offering new user experiences. Similarly, while designing Ambient Sounds Memory and Mindful Speaker, we focused on the annotations “Nonhuman Agency” and “Physical Spatial Sound Space”, not only on customizing Artful CollectiveEars to offer specialized services.
These experiences show that the process of refinement and customization were typically performed simultaneously when we were exploiting potential opportunities because examining the platforms from the material perspective allowed us to explore the potential opportunities of the platforms related to influencing a user’s experiences. On the other hand, examining these platforms from a human perspective was convenient when customizing the user experience according to novel domain use cases. The final purpose of each platform was to offer services that users want to use. Thus, focusing on user experiences was indispensable for designing better digital platforms. This discussion validated the role of the HMP annotation method, as investigating both perspectives, namely, human and material, was crucial for exploring the potential opportunities of the digital platforms and offering additional innovative services.
One of the most important insights from our study was that focusing on the material perspective became a critical way to exploit the potential opportunities of the platforms. In our journey, “Sharing Human Sight and Hearing” was the most essential material perspective. Additionally, focusing on interaction methods such as the “Theme Channel” and “Ambient Photomontage” provided us with new opportunities for designing new platforms. We believe that clarifying the material aspects of digital artifacts and identifying the affordances constructed by their core abstract objects is essential for refining these digital artifacts to exploit potential opportunities. This finding shows that cataloging abstract objects is promising in terms of representing intermediate knowledge. Of course, our research community invented a variety of useful abstract objects that could be refined to investigate future possibilities. In our past projects, we explored ambient persuasive mirrors [73] and microcommunities [82] as core abstract objects, which could be used to explore new digital artifacts. Additionally, distributed ledges [80] provide an example from the field of distributed systems, as this concept includes trajectories [6], which, for example, in the context of human-computer interaction, capture the idea of a coherent journey through an extended experience that comprises many different spaces, times, roles and interfaces; additionally, procedural rhetoric [8] is an example from the field of digital media that involves core abstract objects that can be used to refine digital artifacts. This idea may be similar to the strong concept presented in [43]; thus, we need to discuss the similarity between our concept and the abstract objects presented in that paper in the future. We believe that creating a catalog of abstract objects represents a promising research direction for our community.
7.2 Considering material perspective explicitly
In the initial design of CollectiveEyes and CollectiveEars, we focused on human experiences based on human-centered design. This approach is good for developing better digital platforms, but in terms of gaining new knowledge for refining digital platforms, it is hard to know how each aspect of each platform influences humans. For example, we extracted various user experiences and revealed potential opportunities related to CollectiveEyes that could enhance human thinking abilities [52]. On the other hand, we were not aware of how to exploit the material perspective of human sight and hearing before creating related annotations based on the HMP annotation method. After creating the annotations of CollectiveEyes and CollectiveEars, especially from the material perspective, we found that the material perspective made us aware of more new opportunities than the human perspective did. For example, in Ambient CollectiveEyes, we proposed a novel interaction method called Ambient Photomontage. In Gamified CollectiveEyes, tagging current human fields of vision with values offered new opportunities to make humans see more consciously, which led to redefined human sight and hearing.
At that point in the process, we thought that exploiting human hearing was still not sufficient. After defining the annotations for CollectiveEars, our main focus was to investigate the platform as an art form from the material perspective by exploring hearing as a material object. From a visual perspective, people can easily select desirable scenes from their current fields of vision. This is the typical process involved in photo taking. On the other hand, it is not easy to extract a specific sound from a person’s current environment. For example, when capturing mindful sounds, a person needs to find a quiet place where he or she can hear only mindful sounds. Therefore, it is difficult to extract specific sounds from an environment; this is completely different from a visual perspective. To explore the material aspects of human hearing, we deemed that it was necessary to extract different sounds from a moment and recompose them according to a listener’s intentions. This process may represent a new way to redefine human hearing capabilities.
In our journey, one direction that we should have investigated was exploring the affordances constructed through material annotations. As described in this paper, explicitly representing the affordances of the virtual objects within the digital platforms had already revealed diverse potential opportunities. However, we did not clearly investigate the agency of these affordances in terms of the sociomaterial perspective, although we investigated the more than human principle in Ambient CollectiveEyes and Ambient Sounds Memory; this is because our investigation was strongly influenced by Paul Leonardi’s proposition to emphasize the asymmetry between humans and materials, which was explained in Section 2.2. Therefore, we believed that there was room to investigate more opportunities to clearly represent the agency of the affordances by investigating the symmetry between humans and materials. In particular, we believed that we could formally investigate how user experiences are constructed through the agency of affordances. Of course, our investigation had already shown the relationship between the user experiences and the affordances constructed by the platforms, but this investigation was still ad hoc. We deemed that the relationship could be theorized based on product semantics [19, 62, 84]. Additionally, focusing on the affordances used to design user experiences would allow us to exploit the agency of objects approach presented in [11] to reveal potential user experiences from different angles.
7.3 Sociomaterial perspective and alternate reality experience
One essential proposition in the context of sociomateriality is that humans and nonhumans should be considered at the same level, as explained in Section 2.2. The previous subsections showed that the nonhuman perspective plays an essential role in the annotation process when using the HMP annotation method, but an important difference between this method and sociomateriality is that virtual objects are explicitly investigated as nonhuman entities rather than only physical objects or nonhuman creatures being investigated in this way. In our approach, virtual objects are introduced to represent digital platforms’ interfaces with humans or various digital services, and virtual objects construct the affordances that indicate how humans or services should interact with the platforms. This difference can be generalized to enhance the original ideas of sociomateriality, as virtual objects can also represent nonexistent objects, creatures realized through digital technologies, or even invisible, abstract meta-level concepts constructed through a network of humans and things. Figure 14 shows that an enhanced real world created with virtual objects is called an alternate reality world [46].
In this alternate reality world, virtual objects are added to the real world. As explained above, virtual objects can also be abstract meta-level objects that represent social concepts [46], semiotic concepts [8], or strong concepts [6, 43]. Virtual objects can become members of human and nonhuman networks and create alternate social relationships with humans and nonhumans, as they are symmetrical elements on the same level. Since the affordances of virtual objects dynamically change due to their transforming relationships with humans and nonhumans, they influence various aspects of humans and nonhumans; thus, these affordances may also be changed through the influences of humans and nonhumans. In [65], Paul Leonardi discussed how digital technologies can be treated from the sociomaterial perspective; however, in the discussion, he deemed software programs to be similar to physical nonhuman programs. On the other hand, our discussions investigated relatively abstract virtual objects offered by software programs. The journey described in this paper provides one example of how the virtual objects offered in digital platforms and humans co-construct the affordances of virtual objects and construct user experiences within digital platforms. A network of virtual objects, humans and physical nonhumans can construct a world model that visually represents our society enhanced though digital technologies; analyzing the interactions among virtual objects, humans and physical nonhumans in such a world model offers a promising new research direction to investigate new opportunities in our digitalized world. In particular, incorporating virtual objects that represent abstract meta-level concepts such as the virtual objects offered by digital platforms offers new opportunities to understand human thinking and behavior to develop a more advanced digital society.
7.4 Low Fidelity prototype and its HMP annotations
The annotations based on the HMP annotation method help us analyze the design of digital platforms without developing complete, working platforms. In the current economy, deploying new digital platforms is a very difficult task because the effects of such platforms are ambiguous and their development is costly and time consuming. Our society needs a better way to develop new services through a simpler method. The actual development and deployment of the platforms in the real world is costly because we need to build a working distributed platform and find a sufficient number of users to collect human fields of vision and audio clips of the sounds that humans hear. The annotation method proposed in this paper allows us to develop a family of digital platforms easily and analyze them to explore new opportunities in a cheaper way.
For example, from small-scale user studies, we can extract only individual experiences in terms of psycho-pleasure and socio-pleasure annotations. To extract user experiences involving physio-pleasure and ideo-pleasure, we need to employ a prototype platform in our daily environment. Additionally, to fully extract socio-pleasure annotations, we need a practical deployed environment that includes a sufficient number of users. Without user experiences, it is difficult to refine the current platforms and consider new possible platforms. On the other hand, the annotations cannot replace a field environment in terms of extracting real quantitative experiences, but we can still examine potential opportunities and pitfalls qualitatively through annotations without developing complete platforms. In particular, as discussed at the beginning of this subsection, it is difficult to expect new digital platforms to succeed. Design tools to help us refine our digital platforms and exploit new opportunities for our current digital platforms are very important, and this paper describes some experiences with annotations in the desired direction.
7.5 Alternative pleasure annotations beyond the four pleasures
In this study, we adopted the four pleasures framework to analyze the various aspects of digital artifacts beyond those included in the rationalistic or utilitarian perspective. This section discusses alternative possibilities of using other classifications to explore the potential opportunities offered by digital artifacts. Our experience shows that annotations based on the HMP annotation method are appropriate for exploring the diverse opportunities of our platforms. However, the essential issue is that our classification method is used to broaden our perspective in terms of designing platforms, so we may use other approaches for the purpose of exploration. For example, we may use the designed emotions framework [19] or the value-based analysis framework [46] instead of the four-pleasures framework. Additionally, to exploit the different aspects of pleasures, we may also consider other classification approaches, such as the value-sensitive design framework [27] or the universal value framework [86], that can enable the exploitation of more specific topics, such as ethics or human values.
However, our experience with using the four pleasures shows that this approach is very good for focusing on various human experiences with minimal classification. For example, the psycho-, socio-, and ideo-pleasures enable us to investigate individual, communal and collective user experiences, and physio-pleasure enables us to consider physical user experiences. This classification covers a wide range of human experiences. However, when investigating extreme opportunities, we may employ an additional category, such as transpersonal experiences explained through transpersonal psychology [38]. However, the four pleasures do not offer opportunities to think about extreme values. Additionally, in our current investigation, we tend to consider the four pleasures in relation to relatively positive experiences. If we focus on the pleasures of a negative experience such as an uncomfortable user experience [7], we could find additional pitfalls of each digital platform. Additionally, this approach may be meaningful in terms of exploiting the values of minority people. We would like to speculatively explore new opportunities that lie beyond traditional human needs when designing a digital platform to extend the boundary of the platform beyond the four pleasures framework. In the next step, we investigate these issues.
7.6 Speculative design and future opportunities
The relationship between design and art has been discussed at several points in time, from the high modernist synthesis of applied art, visual art, and design in the 1950s to the rationality-oriented scientification of design and postmodernism in the 1960s, where design and art are again placed at the center of the relationship between the various disciplines. The relationship between design and art has once again become central to the relationship between the various disciplines. Thus, some designers have taken new approaches to design, especially in terms of designing technology-oriented artifacts. These new designers have acted on the borders of traditional disciplines, removing these borders. In their research, they related diverse fields of science, sociology, psychology, architecture, and biotechnology with the goal of critically reflecting on the role that technologies play in our society and redefined the role of technologies in everyday life without dealing with their actual uses but by considering their implications. These designers used design as a medium and focused on concepts and artifacts; rather than solving problems, they asked questions and opened issues up to discussion [72].
Speculative design is a critical design practice related to some of similar practices known by critical design, design fiction, future design, anti-design, radical design, interrogative design, discursive design, adversarial design, futurescape, design art, transitional design, and others [20, 93]. Speculative design is about reimagining our ideas to create better futures that are possible and desirable, and it is important to think of such possible opportunities as much as possible. The HMP annotation method can be used to help speculatively design a set of artifacts from which to extract insights and generate new ideas and concepts to create new critical artifacts that reflect current social movements. This direction is promising in terms of expanding the opportunities of this method.
Ben Shneiderman claims that the gaps between human-centered artificial intelligence and artificial intelligence technologies may cause the replacement of humans [87]. These gaps can be generally referred to as the gaps between humans and nonhumans. We believe that similar gaps can be found in various places, and they have become critical sources of current intractable social issues. The HMP annotation method can be used to reveal these gaps while designing complex digital platforms and extracting their potential opportunities, enabling us to think about the gaps and ways to dissolve them. Additionally, the HMP annotation method allows us to investigate human and nonhuman issues from multiple angles: physical, individual, communal and collective. In the next step, we try to generalize the HMP annotation method and use it to analyze our current social daily activities supported by digital technologies to reveal the gaps between humans and nonhumans.
8 Conclusion
As an intermediate knowledge format, an annotated portfolio has been conceived to convey how research through design can clarify new knowledge and allow designers to achieve some level of abstraction when reasoning about their work. We presented our journey of refining nine digital platforms that enabled collective human sight and hearing with the HMP annotation method and explained how our annotations evolved during this journey. In this study, our main focus was to explain our experiences with how the HMP annotation method broadened our perspective, enabling us to find unnoticed potential opportunities.
This method can be used to broaden the perspective of the participants in a participatory design process. In the next step, we investigate the effectiveness of this method in the participatory design process. However, Section 6 has already shown that the collaborative discussions between the authors of this paper and the postdoctoral researcher developing the wearable shape-changing robotic devices revealed some potential opportunities involving his artifacts, but the participatory approach is still preliminary. We believe that deeply exploring the direction offers more promising opportunities for developing diverse future digital artifacts.
Data availability
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
Notes
The concept of performativity is extensively discussed in [4].
The words reliability, safety and trustworthiness may help readers understand the meaning of our annotation intuitively. Reliability is related to “MPh:physio-pleasure”. Safety is related to “MPs:psycho-pleasure” and “MSo:socio-pleasure” in terms of individual and communal safety. Trustworthiness is related to “MId:ideo-pleasure”.
In our platforms, these are the core abstract object that represents human sight and hearing and constructs the affordance enabling sight and hearing to be sharable by diverse people, and they are categorized when presented to a user.
For making the paper more readable, we discuss only five digital platforms in this section. Other digital platforms are discussed in Appendix 2.
References
Al-Sada M, Höglund T, Khamis M, Urbani J, Nakajima T (2019) Orochi: Investigating requirements and expectations for multipurpose daily used supernumerary robotic limbs. In proceedings of the 10th augmented human international conference 2019 (AH2019). Association for Computing Machinery, New York, NY, USA, article 37. pp.1–9 https://doi.org/10.1145/3311823.3311850
Al-Sada M, Jiang K, Ranade S, Kalkattawi M, Nakajima T (2020) HapticSnakes: multi-haptic feedback wearable robots for immersive virtual reality, Virtual Reality 24. pp. 191–209
Anguelov D, Dulong C, Filip D, Frueh C, Lafon S, Lyon R, Ogale A, Vincent L, Weaver J (2010) Google street view: capturing the world at street level. Computer 43(6):32–38. https://doi.org/10.1109/MC.2010.170
Barad K (2003) Posthumanist performativity: toward an understanding of how matter comes to matter. Signs J Women Cult Soc 28(3):801–831
Barad K (2007) Meeting the university Halfway: quantum physics and the entanglement of matter and meaning. Duke University Press
Benford S, Greenhalgh C, Crabtree A, Flintham M, Walker B, Marshall J, Koleva B, Egglestone SR, Giannachi G, Adams M, andavanitj N, Farr JR (2013) Performance-Led Research in the Wild. ACM Trans Comput-Human Int 20(3) Article 14:22. https://doi.org/10.1145/2491500.2491502
Benford S, Greenhalgh C, Giannachi G, Walker B, Marshall J, Rodden T (2013) Uncomfortable user experience. Commun ACM 56(9):66–73. https://doi.org/10.1145/2500468.2500889
Bogost I (2008) The rhetoric of video games. In the ecology of games: connecting youth, games, and learning. In: Salen K (ed) The John D. and Catherine T. MacArthur Foundation series on digital media and learning. The MIT press, Cambridge, pp 117–140. https://doi.org/10.1162/dmal.9780262693646.117
Botsman R, Rogers R (2010) What’s mine is yours: the rise of collaborative consumption. Harper Business
Bowers J (2012) The Logic of Annotated Portfolios: Communicating the Value of “Research Through Design”. In: Proceedings of the Designing Interactive Systems Conference (DIS ‘12). pp 68–77 https://doi.org/10.1145/2317956.2317968
Chang W-W, Giaccardi E, Chen L-L, Liang R-H (2017) “Interview with Things”: A First-thing Perspective to Understand the Scooter's Everyday Socio-material Network in Taiwan. In: Proceedings of the 2017 Conference on designing interactive systems (DIS '17). Association for Computing Machinery, New York, USA, pp 1001–1012. https://doi.org/10.1145/3064663.3064717
Chinese Number Hand Gesture, https://www.thatsmags.com/shanghai/post/17604/if-you-didn-t-already-know-china-uses-hand-signs-to-express-numbers (Accessed September 15 2022)
Coulton P, Lindley JG (2019) More-than human Centred design: considering other things. Des J Int J All Aspects Des 22(4). https://doi.org/10.1080/14606925.2019.1614320
Cross N (2001) Designerly ways of knowing: design discipline versus design science. Des Issues 17(3):49–55
Cruickshank L, Trivedi N (2017) Beyond human-Centred design: supporting a new materiality in the internet of things, or how to design when a toaster is one of your users. Des J Int J All Aspects Des 20(5). https://doi.org/10.1080/14606925.2017.1349381
Culén AL, Børsting J, Odom W (2019) Mediating relatedness for adolescents with ME: reducing isolation through minimal interactions with a robot avatar. In: proceedings of the 2019 on designing interactive systems conference (DIS ‘19). pp 359–371 https://doi.org/10.1145/3322276.3322319
Culén AL, Børsting J, Gaver W (2020) Strategies for Annotating Portfolios: Mapping Designs for New Domains. In Proceedings of the 2020 ACM designing interactive systems conference (DIS ‘20). Association for Computing Machinery, New York, USA, pp 1633–1645. https://doi.org/10.1145/3357236.3395490
Dalsgaard P, Dindler C (2014) Between theory and practice: bridging concepts in HCI research. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘14). pp 1635–1644 https://doi.org/10.1145/2556288.2557342
Desmet P (2002) Designing emotions, Dissertation Thesis, TU Delft, Faculty Industr Des Eng
Dunne A, Raby F (2013) Speculative everything: design, fiction, and social dreaming. The MIT Press
England D, Schiphorst T, Bryan-Kinns N (2016) Curating the digital: space for art and interaction, springer
Evans DS, Schmalensee R (2016) Matchmakers: The New Economics of Multisided Platforms. Harvard Business Review Press
Fallman D (2007) Why research-oriented design isn’t design-oriented research: on the tensions between design and research in an implicit design discipline. Knowl Technol Policy 20(3):193–200. https://doi.org/10.1007/s12130-007-9022-8
Feyerabend PK (1975) Against method. Verso Bookds, New York
Frauenberger C (2019) Entanglement HCI the next wave? ACM Transac Comput-Human Inter 27, Vo.1, article 2:27. https://doi.org/10.1145/3364998
Frauenberger C, Makhaeva J, Spiel K (2016) Designing Smart Objects with Autistic Children: Four Design Exposès. In: Proceedings of the 2016 CHI conference on human factors in computing systems (CHI '16). Association for Computing Machinery, New York, USA, pp 130–139. https://doi.org/10.1145/2858036.2858050
Friedman B, Hendry DG (2019) Value sensitive design: shaping technology with moral imagination. The MIT Press
Fuchsberger V, Murer M, Tscheligi M (2013) Materials, materiality, and media. In: proceedings of the SIGCHI conference on human factors in computing systems. ACM. pp 2853–2862 http://dl.acm.org/citation.cfm?id=2481395
Gaver W (2012) What should we expect from research through design? In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘12). pp 937–946 https://doi.org/10.1145/2207676.2208538
Gaver W, Bowers J (2012) Annotated portfolios. Interactions 19(4):40–49. https://doi.org/10.1145/2212877.2212889
Gaver B, Dunne T, Pacenti E (1999) Design: Cultural probes. Interactions 6(1):21–29. https://doi.org/10.1145/291224.291235
Gaver WW, Beaver J, Benford S (2003) Ambiguity as a resource for design. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '03). Association for Computing Machinery, New York, USA. pp 233–240 https://doi.org/10.1145/642611.642653
Giaccardi E, Stappers PJ (2017) Research through Design. In: Chapter 43: The Encyclopedia of Human-Computer Interaction. 2nd Ed. Interaction Design Foundation
Google Glass, https://www.google.com/glass/ (Accessed September 15 2021)
Haidt L (2014) Nonprofits Imagine a Better Sharing Economy, http://forums.techsoup.org/cs/community/b/tsblog/archive/2014/05/14/nonprofits-imagine-a-better-sharing-economy.aspx (Accessed 2021/1/30)
Hall C (2020) TAKING NOTE: annotated portfolio as a method to analyse the experience of design research practice. J Text Des Res Practice 8(2):209–231. https://doi.org/10.1080/20511787.2020.1751960
Hamari J, Sjöklint M, Ukkonen A (2015) The sharing economy: why people participate in collaborative consumption. J Assoc Inf Sci Technol 67(9):2047–2059. https://doi.org/10.1002/asi.23552
Hartelius G, Caplan M, Rardin MA (2007) Transpersonal psychology: defining the past, divining the future. Humanist Psychol 35(2):1–26
Hassenzahl M (2013) User experience and experience design. In: The encyclopedia of human-computer Interaction. The Interaction Design Foundation
Hauser S, Wakkary R, Odom W, Verbeek PP, Desjardins A, Lin H, Dalton M, Schilling M, De Boer G (2018) Deployments of the table-non-table: a reflection on the relation between theory and things in the practice of design research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. pp 201:1–13 https://doi.org/10.1145/3173574.3173775
Hauser S, Oogjes D, Wakkary R, Verbeek P-P (2018) An Annotated Portfolio on Doing Postphenomenology Through Research Products. In: Proceedings of the 2018 Designing Interactive Systems Conference (DIS ‘18). Association for Computing Machinery, New York, USA, pp 459–471. https://doi.org/10.1145/3196709.3196745
Hobye M, Padfield N, Löwgren N (2013) Designing social play through interpersonal touch: an annotated portfolio. Nordic design research, Vol. 5
Höök K, Löwgren J (2012) Strong concepts: intermediate-level knowledge in interaction design research. ACM Trans. Computer-human Interaction 19(3):23:1–23:18. https://doi.org/10.1145/2362364.2362371
Höök K, Dalsgaard P, Reeves S, Bardzell J, Löwgren J, Stolterman E, Rogers Y (2015) Knowledge production in interaction design. In: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '15). Association for Computing Machinery, New York, USA. pp 2429–2432 https://doi.org/10.1145/2702613.2702653
Ikeuchi K, Otsuka T, Yoshii A, Sakamoto M, Nakajima T (2014) KinecDrone: enhancing somatic sensation to fly in the sky with Kinect and AR.Drone. In: Proceedings of the 5th Augmented Human International Conference (AH '14). ACM, New York, USA, article 53. p 2 https://doi.org/10.1145/2582051.2582104
Ishizawa F, Sakamoto M, Nakajima T (2018) Extracting intermediate-level design knowledge for speculating digital–physical hybrid alternate reality experiences. Multimed Tools Appl 77:21329–21370. https://doi.org/10.1007/s11042-017-5595-8
Jordan PW (2000) Designing pleasurable Products: An Introduction to the New Human Factors. CRC Press. https://doi.org/10.4324/9780203305683
Kawsar F, Min C, Mathur A, Montanari A (2018) Earables for personal-scale behavior analytics. IEEE Pervasive Comput 17(3):83–89. https://doi.org/10.1109/MPRV.2018.03367740
Keith Edwards W, Newman MW, Poole ES (2010) The infrastructure problem in HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). Association for Computing Machinery, New York, USA, pp 423–432. https://doi.org/10.1145/1753326.1753390
Kelliher A, Byrne D (2015) Design futures in action: documenting experiential futures for participatory audiences. Futures 70:36–47
Kimura R, Nakajima T (2020) Gathering People’s Happy Moments from Collective Human Eyes and Ears for a Wellbeing and Mindful Society. In: Schmorrow D, Fidopiastis C (eds) Augmented Cognition. Human Cognition and Behavior. HCII 2020. Lecture notes in computer science, vol 12197. Springer, Cham. https://doi.org/10.1007/978-3-030-50439-7_14
Kimura R, Nakajima T (2020) Collectively sharing People’s visual and auditory capabilities: Exploring opportunities and pitfalls. SN Computer Science 1(5):298:1–298:24, Springer Nature. https://doi.org/10.1007/s42979-020-00313-w
Kimura R, Nakajima T (2021) Collectively sharing human hearing in artful CollectiveEars. In: Proceedings of the 9th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI 2021)
Kimura R, Nakajima T (2021) Hunting lovely and serendipitous eye sights through sharing collective human eye views. In: Proceedings of the 23rd International Conference on Information Integration and Web-based Applications & Services (iiWAS 2021)
Kimura R, Nakajima T (2021) CollectiveEars: sharing collective People’s hearing capability, in proceedings of the 23rd international conference on information integration and web-based applications & services (iiWAS 2021)
Kimura R, Nakajima T (2021) Ambient photomontage: Ambiently presenting multiple perspectives on a human visual perspective. In: Proceedings of the 12th international symposium on ambient intelligence (ISAmI 2021)
Kimura R, Nakajima T (2021) Gamification in CollectiveEyes. In: proceedings of the IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
Kimura R, Nakajima T (2022) Case studies to enhance collectively sharing human hearing: ambient sounds memory and mindful speaker. In: Proceedings of the 10th International Conference on Distributed, Ambient and Pervasive Interactions (DAPI 2022)
Kimura R, Jiang K, Zhang D, Nakajima T (2020) Society of “Citizen Science through Dancing”. In: Novais P, Vercelli G, Larriba-Pey JL, Herrera F, Chamoso P (eds) Ambient Intelligence – Software and Applications. ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_2
Kolb DA (2015) Experiential learning: experience as the source of learning and development. 2nd edition. Pearson Education, Inc., Upper Saddle River
Koskinen I, Zimmerman J, Binder T, Redström J, Wensveen S. 2012. Design research through practice: from the lab, field, and showroom, Morgan Kaufmann, Field
Krippendorff K, Butter R (1984) Product semantics: exploring the symbolic qualities of form. Innovation 3(2):4–9
Larner J (2019) Reflective ethnographic design of collaborative economy models using annotated portfolios. In: Travlou P, Ciolfi L (eds) Ethnographies of Collaborative Economies Conference Proceedings. University of Edinburgh ISBN 978-1-912669-11-0. Paper no. 8
Latour B (2005) Reassembling the social: an introduction to actor-network-theory. Oxford University press, Oxford, New York
Leonardi PM (2010) Digital materiality? How artifacts without matter, matter, First Monday, 15, 6. http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/3036/2567
Leonardi PM (2011) When flexible routines meet flexible technologies: affordance, constraint, and the imbrication of human and material agencies. MIS Q 35(1):147–167
Light A (2019) Design and social innovation at the margins: finding and making cultures of plurality. Des Cult 11(1):13–35. https://doi.org/10.1080/17547075.2019.1567985
Lindtner S, Hertz GD, Dourish P (2014) Emerging sites of HCI innovation: hackerspaces, Hardware Startups & Incubators. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘14). pp 439–448 https://doi.org/10.1145/2556288.2557132
Löwgren J (2013) Annotated portfolios and other forms of intermediate-level knowledge. Interactions 20(1):30–34. https://doi.org/10.1145/2405716.2405725
Manzini E (2015) Design, when everybody designs: an introduction to design for social innovation. MIT press
Marita S, Conny B, Ruud B (2018) Annotated portfolios as a method to analyze interview. In: Proceedings of Design Research Society 2018. pp 1148-1158
Mitrović I, Golub M, Šuran O (2015) Design fiction: Eutropia – introduction to speculative design practice, HDD & DVK UMAS, Zagreb/Split
Nakajima T, Lehdonvirta V (2013) Designing motivation using persuasive ambient mirrors. Pers Ubiquit Comput 17(1):107–126. https://doi.org/10.1007/s00779-011-0469-y
Odom WT, Sellen AJ, Banks R, Kirk DS, Regan T, Selby M, Forlizzi JL, Zimmerman J (2014) Designing for slowness, anticipation and re-visitation: a long term field study of the Photobox. In: Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems (CHI ‘14). pp 1961–1970 https://doi.org/10.1145/2556288.2557178
Orlikowski WJ, Scott SV (2015) Exploring material-discursive practices. J Manag Stud 52(5):697–705
Orlikowski WJ, Yates JA, Okamura K, Fujimoto M (1995) Shaping electronic communication: The metastruczturing of technology in the context of use. Organ Sci 6(4):423–444
Pal D, Funilkul S, Vanijja V (2020) The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confrmation model. Univ Access Inf Soc 19:261–281. https://doi.org/10.1007/s10209-018-0639-z
Pedersen ERG, Earley R, Andersen KR (2019) From singular to plural: exploring organisational complexities and circular business model design. J Fashion Market Manag Int J 23(3):308–326
Polanyi M (1958) Personal knowledge. University of Chicago Press, Chicago
Rauchs M, Glidden A, Gordon B, Pieters G, Recanatini M, Rostand F, Vagneur K, Zhang B (2018) Distributed Ledger Technology Systems: a conceptual framework. Centre for Alternative Finance, Cambridge
Redström J (2017) Making design theory. The MIT Press, Cambridge, Massachusetts
Sakamoto M, Nakajima T, Akioka S (2017) Gamifying collective human behavior with gameful digital rhetoric. Multimed Tools Appl 76:12539–12581. https://doi.org/10.1007/s11042-016-3665-y
Sanders EBN (2000) Generative tools for co-designing. In: Scrivener SAR, Ball LJ, Woodcock A (eds) Collaborative design. Springer, London
Schifferstein HNJ, Hekkert P (2011) Product Experience, Elsevier Science
Schön DA (1983) The reflective practitioner: how professionals think in action. Basic Books, New York
Schwartz SH, Bilsky W (1990) Toward a theory of the universal content and structure of values: extensions and cross cultural replications. J Pers Soc Psychol 58:878–891
Shneiderman B (2020) Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems. ACM Trans Int Intel Syst 10(4) Article 26:31. https://doi.org/10.1145/3419764
Shneiderman B (2020) Human-Centered AI: A second Copernican Revolution, AIS Transactions on Human-Computer Interaction, Vol.12, No.3 (September 2020)
Smith A (2017) Social Innovation, Democracy and Makerspaces. Social Science Research Network, Rochester. Retrieved December 5, 2019 from https://papers.ssrn.com/abstract=2986245
Srivastava S, Culén AL (2017) Designing for the second-hand use of consumer goods. In: Proceedings of the International Conference Interfaces and Human Computer Interaction. pp. 193–206
Stolterman E, Wiberg M (2010) Concept driven interaction design research. Human–Comput Int 25(2):95–118. https://doi.org/10.1080/07370020903586696
Suchman L (1998) Human/Machine Reconsidered. Cogn Stud 5(1):5–13
Tharp BM, Tharp SM (2019) Discursive design: critical, speculative, and alternative things. The MIT Press
The Agoraphobic Traveller, https://www.pinterest.jp/ashleyschleeper/jacqui-kenny/ (Accessed September 15 2022)
Tiger L (1992) The pursuit of pleasure. Little Brown & Co.
Urbani J, Al-Sada M, Nakajima T, Höglund T (2018) Exploring Augmented Reality Interaction for Everyday Multipurpose Wearable Robots. In: Proceedings of the IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hakodate. pp 209–216 https://doi.org/10.1109/RTCSA.2018.00033
van de Poel I, Kroes P (2014) Can technology embody values? In: Kroes P, Verbeek PP (eds) The moral status of technical artefacts. Philosophy of engineering and technology, vol 17. Springer
Vlachokyriakos V, Crivellaro C, Wright P, Olivier P (2018) Infrastructuring the solidarity economy: unpacking strategies and tactics in designing social innovation. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ‘18). pp.481:1–481:12 https://doi.org/10.1145/3173574.3174055
von Ahn L, Dabbish L (2008) Designing games with a purpose. Communication of the ACM, 51, 8
William WG, Bowers J, Boehner K, Boucher A, Cameron DWT, Hauenstein M, Jarvis N, Pennington S (2013) Indoor Weather Stations: Investigating a Ludic Approach to Environmental HCI Through Batch Prototyping. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘13). pp 3451–3460 https://doi.org/10.1145/2470654.2466474
WindowSwap, https://www.window-swap.com/(Accessed September 15 2022)
Zimmerman J, Forlizzi J (2014) Research through design in HCI. In: Olson JS, Kellogg WA (eds) In ways of knowing in HCI. Springer, New York, pp 167–189
Acknowledgements
We are very grateful to Dr. Mohammed Al-Sada for helping us use the HMP annotation method developed in his research to conduct the study in Section 6.
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Appendices
Appendix 1: A Catalog of the Nine Digital Platforms
1.1 CollectiveEyes
CollectiveEyes is the first digital platform that we developed and included in our portfolio, and it represents the starting point of our journey to explore the capabilities of human sight and hearing [52]. It is used to enable collective human sight. We assume that each person is equipped with a wearable device containing a camera and microphone, likely wearable glasses, that enable his/her current field of vision to be captured anytime and anywhere. This platform is a kind of sharing economy that offers the abilities of some parts of a user’s body to other persons. Future wearable devices will enhance our body ownership by enabling us to rent our body parts virtually through wearable devices. CollectiveEyes uses a head-mounted display (HMD) with a camera and microphone on the front of it. A user can see any persons’ current field of vision anytime and anywhere by switching his current visual perspective to another’s perspective through his/her HMD. Additionally, a user can see multiple individuals’ fields of vision simultaneously in a 3D virtual space by projecting them on his/her HMD. CollectiveEyes offers a keyword-based and location-based search method to find the fields of vision that a user wants to see. One of its major features is the use of gaze-based gestures for all the controls used to choose preferred views.
1.2 CollectiveEars
CollectiveEars is a digital platform that provides the capability of sharing a collection of the sounds that people are currently hearing, and it allows individuals to listen to this audio, enabling them to enhance their imagination about the world [55]. Modern urban life has become very busy and stressful, and we tend to forget a variety of important things that contribute to our wellbeing, for example, living in nature or having the chance to do so in the future. The various sounds in the world can offer new possibilities that make us aware of our world’s diversity and expand our ability to experience it. A CollectiveEars user typically wears headphones equipped with an acceleration sensor device enabling him or her to access a virtual 3D listening space. To listen to multiple sounds, a user can place the sound sources around himself or herself in a 3D listening space, and these sounds are presented simultaneously. A user specifies a theme channel from the stored sounds in the database through head gestures; this is a novel interaction method proposed in CollectiveEars that is used to select multiple sounds that are then presented around the user, and it works much like a TV channel selector. The platform also features a sound focusing function, which makes it possible to loudly hear sounds in the direction that one tilts his or her head.
1.3 Ambient CollectiveEyes
A refined version of CollectiveEyes is called Ambient CollectiveEyes [56]. Ambient CollectiveEyes supports the nonhuman fields of vision rather than only human ones, and it thus offers more diverse views to users. The purpose of art is to give its viewers a deeper understanding of reality by providing an unusual perspective on everyday life. Victor Cyclovsky claims that the purpose of art is to defamiliarize our daily life. Pablo Picasso and Georges Braque founded Cubism in the early twentieth century. Whereas concrete paintings depict one perspective, cubist paintings depict objects from multiple perspectives and recreate them on a canvas according to this composition. The ambient photomontage method is a new interaction method that is included in Ambient CollectiveEyes. This method adopts augmented reality techniques to superimpose multiple fields of vision, including nonhuman ones, on a user’s current field of vision. These superimposed views become obscure if their transparency degree is increased, but they become clearer if a user’s consciously uses a hand gesture to adjust the clarity. This approach enables the ambient display of multiple fields of vision. The superimposed fields of vision also represent the feelings of users who offer their current fields of vision, as the color can be changed in accordance with users’ emotions. A head gesture is used to select a superimposed view and set it as a user’s current field of vision. One of the platform’s design aims is to offer artful presentations based on the ambient photomontage interaction method, which offers diverse views to users to defamiliarize the visual perspectives of their daily lives.
1.4 Gamified CollectiveEyes
The Gamified CollectiveEyes platform includes the theme channel interaction method used in CollectiveEars and CollectiveEyes [57]. The theme channels are used to select the fields of vision that a user wants to see. Gamified CollectiveEyes offers two types of theme channels: the first is the object-based theme channel, and the second is the value-based theme channel. The object-based theme channel is used to select fields of vision by specifying concrete things that should be included in them, and the value-based theme channel is used to select fields of vision by specifying the abstract attributes of the related scenes. A user may find unexpected scenes in the available fields of vision by using the value-based theme channel because this channel filters the fields of vision according to ambiguous notions of values. To define the values of the fields of vision, Gamified CollectiveEyes uses human decision-making methods such as human computation [99]. To encourage people to tag their current fields of vision with values, the platform offers gamification-based strategies: a user can see more fields of vision by tagging his/her current field of vision with the relevant values and offering this information to the platform. This approach has an important side effect, namely, that users tag their fields of vision according to their ambiguous perceptions of what they are seeing. Therefore, a user may encounter more serendipitous fields of vision in Gamified CollectiveEyes than in original CollectiveEyes. Additionally, the platform requires a user to consciously observe his/her current surroundings to tag their fields of vision with the relevant values. Therefore, the platform may make a user more reflective when observing the world.
1.5 Artful CollectiveEars
The enhanced version of CollectiveEars is called Artful CollectiveEars [53], which offers six theme channels: “beauty”, “voice”, “nature”, “city”, “minimal” and “water”. By choosing one of these theme channels, a user can listen to multiple sounds belonging to that channel. One of its design aims is to explore the theme channel interaction method to exploit new domain use cases. We adopted the method of manually tagging sounds with the related values for the six theme channels of Artful CollectiveEars. A user who hears sounds attaches hash tags indicating the name of each theme channel to each respective sound before registering them in Artful CollectiveEars. If a user determines that his/her sounds cannot be classified according to the six theme channels, the sounds are not stored and are discarded. Hand gestures are used to identify the theme channels easily. Chinese hand signs are assigned to the numbers [12] of each theme channel, and users select a theme channel by making the corresponding gesture. Its typical domain use case is to unconsciously hear sounds in the world as artful experiences.
1.6 Gathering Happy Moments
Digital technologies have dramatically changed our daily world. Human wellbeing is one of the most important factors of our daily lives. Remembering happy moments increases humans’ wellbeing significantly, so memorizing past happy moments and presenting these moments in a timely manner represents a promising way to enrich our lives. Gathering Happy Moments is a digital platform used to store and present people’s fields of vision that depict various happy moments, and it can be used to increase human wellbeing [51]. It classifies people’s happy moments into the following five categories: personal belongings, foods, curiosity, families/communities and landscape. Each person’s current field of vision is captured by his/her wearable camera, and the views of multiple persons can be projected in a user’s virtual space. The Gathering Happy Moments platform can gather the fields of vision of users, their families or their friends anytime and anywhere. Extracting happy moments from these gathered fields of vision is necessary, but it is difficult to automate such techniques. We may use various sensors to retrieve real-world information, capturing happy moments, but these collected human fields of vision become useless if they contain many moments that contain negative emotions. In Gathering Happy Moments, a user employs a hand gesture to select the happy moments from all the captured scenes.
1.7 Citizen Science Through Dancing
Citizen Science through Dancing enables protein-protein docking (PPD) manipulation through users’ playful body actions and offers auditory feedback similar to conventional gamified citizen science tools; users obtain higher scores when they find better protein combinations [59]. Citizen Science through Dancing adopts different body actions and poses to activate the PPD manipulation functions presented above, and it is usually used by two people. Each user can independently engage in the body actions described above. However, cooperating together may make the PPD operations more enjoyable. Watching experts examine PPD teaches people how PPD contributes to the scientific progress of biology and enables the discovery of new drugs. In particular, if experts explain their examinations while using the playful tool, people’s intrinsic motivation to know and learn molecular biology may increase. This is particularly useful for motivating young people to study biology. Watching others’ PPD trials may enhance a person’s imagination and creativity because he or she can watch how others use the Citizen Science through Dancing platform. It projects multiple fields of vision simultaneously in a virtual space. We assume that each person is equipped with a wearable device with a camera and microphone, likely wearable glasses.
1.8 Ambient Sounds Memory
Ambient Sounds Memory is a digital platform intended to gather ambient sounds in the world and present them as things in a living room [58]. A user can move the things to any place in the room, and the volume of the related sounds is automatically configured according to the brightness surroundings the things. He/she can shuffle the sounds by touching the things. They are portrayed as living things so people will feel more empathy for them. Therefore, they are more aware of these individual things and want to cherish them. This approach contributes to achieving a sustainable society. In the current design, we focus on four things typically in such a room: chairs, books, flowers and cakes. The chairs make mindful sounds, the books make city sounds, the flowers make nature sounds and the cakes make sweet sounds. A user wears headphones and hears 3D sounds from these things. He/she can move the things from their current places to new places, and the sound emanating from a thing is adjusted according to its current position. Each thing makes a different sound, so the user can identify the things and their current positions. The user can determine where each thing is in the room easily. Because the volume of the sounds is changed according to the surrounding brightness, people may feel that these things are lifelike. Additionally, users may interact with the things in different ways if they like to move them according to their feelings and moods. Therefore, the Ambient Sounds Memory platform confers new meaning on inanimate objects.
1.9 Mindful Speaker
Mindful Speaker is a digital platform that provides mindful sounds for users to listen to [58]. A user is located in the midst of multiple loudspeakers that produce different sounds while using Mindful Speaker, whereas other digital platforms use headphones to produce sounds and share audio that other people have heard. It utilizes the theme channel interaction method to allow uses to select sounds that they want to listen to. These sounds are gathered from people who hear them throughout the world, similar to CollectiveEars. The platform offers three theme channels. The first is “calm”, the second is “ambient” and the third is “aesthetic”. A user chooses the channel that he/she would like to hear through head gestures. After selecting a channel, several sounds are presented in a physical 3D sound space, and the user can choose one of them if he/she would like to do so. People tag the sounds that they are hearing before registering them in Mindful Speaker. One interesting issue posed by this approach is that the value tagging is determined by humans, so the decision regarding which values to tag is based on humans’ ambiguous perceptions about the sounds that they hear. Therefore, each user should consider if other people would think that the sound that he/she is currently hearing is calm, ambient or aesthetic.
Appendix 2: Additional Annotated Portfolios
1.1 Gathering Happy Moments
Gathering Happy Moments was designed by customizing CollectiveEyes through focusing on the domain annotation “Wellbeing”. This platform became a case study of how CollectiveEyes could be customized to support a specialized service that addressed a single domain use case; in this case, the case addressed was “Wellbeing”. Appendix Fig. 15 shows the annotations of Gathering Happy Moments.
Gathering Happy Moments was a specialized version of CollectiveEyes. The platform captured only human views containing positive memories. To capture positive memories, Gathering Happy Moments adopted a simple tagging mechanism to determine whether a user’s current field of vision contained a positive memory. The material annotations of CollectiveEyes were changed by specifically focusing on wellbeing. Gathering Happy Moments included a user interaction affordance based on the material annotations, “Diverse Positive View Presentation”, “View Classification with Positive Memories” and “Diverse Positive Human Views Collection” that was constructed by refining the corresponding annotations of CollectiveEyes. Therefore, we could easily identify how to customize CollectiveEyes to create Gathering Happy Moments by explicitly exploring the core material annotations of CollectiveEyes.
In this platform, users explicitly captured their happy moments and registered them according to five categories, where the annotations “Empathetic Belonging”, “Curious Occurrences”, “Delicious Foods”, “Families and Friends”, and “Aesthetic Landscape” represented each of the material pleasure annotations, as watching others’ positive memories offered users various pleasures, especially psycho-pleasure, socio-pleasure and ideo-pleasure. The inclusion of socio-pleasure and ideo-pleasure was essential to enhance people’s enjoyment of one another’s memories. Additionally, the classification was essential, and positive memories can effectively engage other people. Viewing an individual happy moment was especially effective for recalling past positive memories, and viewing these memories made users want to experience them again. Usually, a user needed to visit the place where he/she experienced the memory, so this aspect was related to physio-pleasure and corresponded to the human annotation “Revisiting Happy Places”.
1.2 Citizen Science with Dancing
Citizen Science with Dancing was also designed by customizing CollectiveEyes, but in this case, CollectiveEyes was used with another application: a citizen science casual game. Appendix Fig. 16 presents the annotations of Citizen Science with Dancing. This platform became a case study of how CollectiveEyes could be customized for use with another application to offer a single combined service.
Adding the domain annotation “Social Watching” was essential to customizing CollectiveEyes to create Citizen Science with Dancing. Social watching allowed a user to identify new skills with which to play the game and to experience diverse cultures through playing the game. The platform consisted of a citizen science casual game intended to facilitate scientific discovery that used CollectiveEyes as a social watching infrastructure. Most of the related pleasure came from playing the casual game. The social watching infrastructure used was almost the same as that of CollectiveEyes. This platform was interesting because its social watching infrastructure was flexible and powerful, and CollectiveEyes offered multiple perspectives of the game play. The material annotations of CollectiveEyes were incorporated into Citizen Science with Dancing without changing them during the customization process. However, one opportunity that arose was to add the theme channel interaction system by customizing the material annotation “Diverse Human Sight Collection”, which represented socio-pleasure. This extension introduced multiple theme channels that allowed users to specify the types of play that they wanted to watch and to compare various people’s games, and each theme channel allowed users to choose the dances that he/she wanted to watch.
We also discussed replacing CollectiveEyes in the game platform with either Ambient CollectiveEyes or Gamified CollectiveEyes. The use of these platforms allowed us to powerfully enhance the players’ ability to watch games; thus, using the platforms made it possible to increase the pleasure provided by Citizen Science with Dancing. In particular, powerful sight abilities enabled us to implement powerful social watching functionalities. For example, the potential of the interaction annotation “Nonhuman View” from Ambient CollectiveEyes, which could enhance users’ ability to watch others play from a nonhuman perspective, could be investigated, increasing the perspectives from which users could watch players dance. The approach enhanced the domain annotation “Enhancing Gaming Skills” through ideologically incorporating the human annotation “Enhancing Gaming Strategy”.
In terms of pleasure annotations, the human annotation “Watching Socially” was labeled as a socio-pleasure. However, by considering this annotation in the context of ideo-pleasure, we had the opportunity to find new possibilities related to Citizen Science with Dancing. One such opportunity was related to allowing game play to be watched by any person; thus, players’ dancing could be compared by audiences. Therefore, this investigation allowed us to explore the possibility of hosting dance competitions for collective audiences.
1.3 Ambient Sounds Memory
Ambient Sounds Memory was designed by customizing Artful CollectiveEars through focusing on the interaction annotation “Nonhuman Agency”. Appendix Fig. 17 presents the annotations of Ambient Sounds Memory. In this digital platform, we mainly investigated the agency of daily artifacts, as Ambient Sounds Memory evoked feelings through presenting users with sounds that would emanate from daily artifacts, not humans. This platform became a case study that can be used to discuss how new domain use cases are investigated by exploiting the materiality of human hearing.
Although Ambient Sounds Memory caused sounds that humans have heard to emanate from daily artifacts such as chairs, users believed that the captured sounds were delivered through the physical artifacts rather than humans. Therefore, one important aspect of the platform was to ascribe agency to artifacts. The human annotation “Feeling Objects’ Agency” played an important role in offering a novel user experience in Ambient Sounds Memory. The sounds of each daily artifact autonomously changed according to the surrounding situation. Therefore, a user would feel that the artifact responded to these environmental changes in the surrounding living room; thus, he/she would feel the agency of the objects, and they would play different sounds to the user based on their current situation. Although there were no significant changes from Artful CollectiveEars in terms of material annotations, Ambient Sounds Memory offered more domain annotations than Artful CollectiveEars. In particular, new domain annotations like “Interactive Furniture” and “Room Interior Decoration” were incorporated by introducing physical daily artifacts. In particular, “Room Interior Decoration” offered a new user experience by allowing users to arrange the physical artifacts in a living room. The annotations of Ambient Sounds Memory provided a good case study that could be used to enhance domain use cases by investigating new material perspectives.
In terms of the domain annotation “Art”, Ambient Sounds Memory captured only natural sounds by customizing Artful CollectiveEars through an investigation of the human annotation “Mindful Experience”. Similar to Artful CollectiveEars, the people who supplied the sounds that they were hearing manually tagged them with values, enabling us to capture only mindful sounds. For this purpose, the interaction annotation “Valuing Human Hearing” was customized, as only mindful sounds were selected through the customized theme channel.
Ambient Sounds Memory provided an example of explicitly incorporating physicality to exploit physio-pleasure from the human perspective by ascribing agency to daily artifacts. The current material annotation “Object Location Arrangement”, which was labeled as a physio-pleasure, was dependent upon the assumption that the artifacts were physically moved by individual users. By exploiting the pleasure annotation, we were able to change the annotation to socio-pleasure. Thus, arranging the artifacts could be performed cooperatively with a user’s friends or family. Additionally, as multiple individuals could hear the same sounds from the daily artifacts in a living room while arranging the artifacts cooperatively, the annotation “Collective Hearing” can be easily realized.
1.4 Mindful Speaker
Mindful Speaker was also designed by customizing Artful CollectiveEars. Appendix Fig. 18 presents the annotations of Mindful Speaker. The customization of Mindful Speaker was focused on the domain annotation “Sounds as Music”. To present our collection of sounds that humans had heard as music, Mindful Speaker also exploited the opportunity of using a physical space to incorporate the annotation “Collective Hearing”.
Artful CollectiveEars utilized six theme channels with different characteristics. The heterogeneities of the sounds associated with the theme channels enabled the creation of artful atmospheres, but these sounds were sometimes stimulative for users. Mindful Speaker utilized only homogeneous mindful sounds when integrating sounds to create comfortable user experiences that resembled relaxing music; the annotation “Sound as Music” represents this approach. As shown below, the sounds could be changed by anyone, but the allowed changes were minor; thus, the composed sounds resembled minimalistic music. In terms of material annotations, Mindful Speaker used almost the same annotations as those used by Artful CollectiveEars, but its human annotations included the material annotation “Mindful Sounds”, as it focused on making sounds that resembled music.
Mindful Speaker focused on the domain annotation “Physical Soundscape”, as this platform offered sounds in a physical space through loudspeakers, while Artful CollectiveEars offered sounds in a virtual 3D sound space through headphones. There was an advantage to exploring the use of virtual spaces; while a single user could easily hear sounds in any place, sounds are hard to share in real time with other people using headphones. In the design of Mindful Speaker, the aspect of physical spaces allowed us to investigate the domain annotation “Collective Hearing” by explicitly gathering users in a small physical space. Multiple loudspeakers would be installed in this space, so multiple users could collaboratively listen to the same sounds, and anyone could change the sounds currently being presented by gesturing without attracting the notice of other users. These different sounds could be easily shared by other people in the same space.
While investigating the domain annotation “Collective Hearing”, we mainly focused on socio-pleasure to incorporate the aspect of collaboration. Therefore, the annotations “Hearing Collectively” and “Diverse Sound Presentation” were labeled as socio-pleasures in the case of Mindful Speaker. In the other platforms, to implement the domain annotation “Collective Hearing” or “Collective Seeing”, we needed to incorporate the agency of the people who gave their views or sounds to allow users to feel others’ atmospheres; however, in a physical space, people can be easily gathered together and can feel the atmosphere surrounding other people. This discussion highlights the sociality of a physical space. Additionally, one future possibility is that we can investigate the use of Mindful Speaker in public spaces, where the presented sounds could be shared by a group of people, thus replacing socio-pleasure with ideo-pleasure in alignment with the “Hearing Collectively” annotation.
Appendix 3: Larger Images of Fig. 2
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Kimura, R., Nakajima, T. Designing innovative digital platforms from both human and nonhuman perspectives. Multimed Tools Appl 82, 39961–40008 (2023). https://doi.org/10.1007/s11042-023-15124-3
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DOI: https://doi.org/10.1007/s11042-023-15124-3