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Designing Value-Centric AmI: Building a Vision for a Caring AI Using Ambient Intelligent Systems

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HCI International 2019 - Posters (HCII 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1033))

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Abstract

The proliferation of Artificially Intelligent agents and embedded, publicly-available sensing systems has placed great importance on the field of study known as Ambient Intelligence (AmI). AmI systems point to a future where urban areas are at least partially aware of (and responsive to) their inhabitants.

AmI systems present significant technical hurdles for implementation; less studied, however, is their potential impact in terms of user experience. This research reviews the process of creating a design vision for such a system, where user values act as the driver for design. Specifically, the process of designing a vision for a future personal lighting AmI, in collaboration with a leading light provider, is used as a case study to describe a framework for the generation of a caring AmI system.

In order to keep the idea of a caring AmI system at the center of the design vision, a value-centric design approach is utilized. Furthermore, scenario-based design is used to construct a series of storytelling videos that describe various possible interactions of users with the system and communicate the user values.

As an additional contribution, the scenarios were then dissected using a graphic scene-by-scene analysis. This technique provides an armature for hosting the complex discussions needed to review both the technological features and user values inherent to any future AmI system.

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Acknowledgments

This research was part of a year-long collaboration between the MIT Design Lab and Signify. Doctoral research of the author Milica Pavlovic has been funded by TIM S.p.A., Services Innovation Department, Joint Open Lab Digital Life, Milan, Italy.

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Correspondence to Scott Penman .

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Penman, S., Colombo, S., Pavlovic, M., Lim, Y., Casalegno, F. (2019). Designing Value-Centric AmI: Building a Vision for a Caring AI Using Ambient Intelligent Systems. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-23528-4_68

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  • DOI: https://doi.org/10.1007/978-3-030-23528-4_68

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  • Print ISBN: 978-3-030-23527-7

  • Online ISBN: 978-3-030-23528-4

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