Ahmadi-Karvigh S, Ghahramani A, Becerik-Gerber B, Soibelman L (2017) One size does not fit all: understanding user preferences for building automation systems. Energy Build 145:163–173
Article
Google Scholar
Ali SMM, Augusto JC, Windridge D (2019) A survey of user-centred approaches for smart home transfer learning and new user home automation adaptation. Appl Artif Intell 33(8):747–774
Article
Google Scholar
Amershi S, Weld D, Vorvoreanu M, Fourney A, Nushi B, Collisson P, Suh J, Iqbal S, Bennett PN, Inkpen K, Teevan J, Kikin-Gil R, Horvitz E (2019) Guidelines for human-AI interaction. In proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). Association for Computing Machinery, New York, NY, USA, Paper 3, 1–13
Bakker S, Hoven E, Eggen B (2015) Peripheral interaction: characteristics and considerations. Pers Ubiquit Comput 19(1):239–254. https://doi.org/10.1007/s00779-014-0775-2
Article
Google Scholar
Bodell O, Gulliksson, E (2016) Teleoperation of autonomous vehicle (Master’s thesis)
Bongard J, Baldauf M, and Fröhlich P. Automation space: towards a design space for everyday automation (2020) In Proceedings of Automation Experience across Domains, Workshop in conjunction with 38th ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)
Boy GA (2020) Human–systems integration: from virtual to tangible. CRC Press
Braun M, Broy N., Pfleging B, Alt F (2017) A design space for conversational in-vehicle information systems. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-8)
Burgess-Limerick R (2020) Human-systems integration for the safe implementation of automation. Mining, Metallurgy & Exploration, 1–8
Chatzigiannakis I, De Ruyter B., Mavrommati I. (Eds.). (2019) Ambient Intelligence: 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, proceedings (Vol. 11912). Springer Nature
Clemmensen T, Hertzum M, Abdelnour-Nocera A (2020) Ordinary user experiences at work: a study of greenhouse growers. ACM Trans Comput-Hum Interact 27(3):Article 16 (June 2020), 31 pages. https://doi.org/10.1145/3386089
Article
Google Scholar
Dadhich S, Bodin U, Andersson U (2016) Key challenges in automation of earth-moving machines. Autom Constr 68:212–222
Article
Google Scholar
De Ruyck O, Conradie P, De Marez L, Saldien J (2019) User needs in smart homes: changing needs according to life cycles and the impact on designing smart home solutions. In IFIP Conference on Human-Computer Interaction (pp. 536-551). Springer, Cham
Edlund P, Holmner Härgestam A (2020) Customer relationship management and automated technologies: a qualitative study on chatbots’ capacity to create customer engagement
Endsley MR (1999) Level of automation effects on performance, situation awareness and workload in a dynamic control task. Ergonomics 42(3):462–492
Article
Google Scholar
Fröhlich P, Sackl A, Trösterer S, Meschtscherjakov A, Diamond L, Tscheligi M (2018) Acceptance factors for future workplaces in highly automated trucks. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 129-136)
Fröhlich P, Baldauf M, Meneweger T, Erickson I, Tscheligi M, Gable T, de Ruyter B, Paternò F (2019) Everyday automation experience: non-expert users encountering ubiquitous automated systems. In Extended Abstracts of the 2019 CHI conference on human factors in computing systems (CHI EA ’19). Association for Computing Machinery, New York, NY, USA, Paper W25, 1–8. DOI:https://doi.org/10.1145/3290607.3299013
Fröhlich P, Walker B, Donmez B, Riener A (2019) Special issue on recent advances in automotive user interfaces and interactive vehicular applications research: part 1 – novel interaction approaches. Int J Mobile Human Comput Interact 11(2):1–3
Article
Google Scholar
Fröhlich P, Schatz R, Buchta M, Schrammel J, Suette S, Tscheligi M (2019) “What’s the Robo-Driver up to?” Requirements for Screen-based Awareness and Intent Communication in Autonomous Buses. i-com, 18(2):151–165
Fröhlich P, Baldauf M, Palanque P, Roto V, Meneweger T, Tscheligi, M, Rot V, Meneweger T, Tscheligi M, Becerra ZM, Paterno F (2020). Automation experience across domains: designing for intelligibility, interventions, interplay and integrity. In Extended Abstracts of the 2020 CHI conference on human factors in computing systems (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–8. DOI:https://doi.org/10.1145/3334480.3375178
Fröhlich P, Esterl T, Adam S, Kuch D, Yilmaz S, Katzeff C., Winzer, C (2020) Towards a social license to Automate in demand-side management: challenges, Perspectives and Regional Aspects. Proc. EnInnov 2020
Frohm J, Lindström V, Stahre J, Winroth M (2008) Levels of automation in manufacturing. Ergonomia 30(3)
Geeng C., Roesner F. (2019) Who’s in control? Interactions in multi-user smart homes. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-13)
Ghazizadeh M, Lee JD, Boyle LN (2012) Extending the technology acceptance model to assess automation. Cogn Tech Work 14(1):39–49
Article
Google Scholar
Hassenzahl, M (2010) Experience design: technology for all the right reasons. synthesis lectures on human-centered informatics 3, 1 (2017/04/13 2010), 1–95. DOI:https://doi.org/10.2200/S00261ED1V01Y201003HCI008
Hoff KA, Bashir M (2015) Trust in automation: integrating empirical evidence on factors that influence trust. Hum Factors 57(3):407–434
Article
Google Scholar
Hopkin VD, Wise JA (2018) Human factors in air traffic system automation. Automation and human performance: Theory and applications, 192
Janssen CP, Donker SF, Brumby DP, Kun AL (2019) History and future of human-automation interaction. Int J Human-Comput Stud 131:99–107
Article
Google Scholar
Ju W, Leifer L (2008) The design of implicit interactions: making interactive systems less obnoxious. DesignIssues 24(07 2008):72–84. https://doi.org/10.1162/desi.2008.24.3.72
Article
Google Scholar
Kaber DB, Endsley MR (2004) The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task. Theor Issues Ergon Sci 5(2):113–153
Article
Google Scholar
Kadir BA, Broberg O, da Conceição CS (2019) Current research and future perspectives on human factors and ergonomics in Industry 4.0. Comput Ind Eng 137:106004
Article
Google Scholar
Kocaballi AB, Laranjo L, Coiera E (2019) Understanding and measuring user experience in conversational interfaces. Interact Comput 31(2):192–207. https://doi.org/10.1093/iwc/iwz015
Article
Google Scholar
Kuutti K, Bannon L (2014) The turn to practice in HCI: towards a research agenda. In Proceedings of the SIGCHI conference on human factors in computing systems (CHI ‘14). ACM, New York, NY, USA, 3543–3552. DOI: https://doi.org/10.1145/2556288.2557111
Lee JD, See KA (2004) Trust in automation: designing for appropriate reliance. Hum Factors 46(1):50–80
MathSciNet
Article
Google Scholar
Leonardi N, Manca M, Paternò F, Santoro C (2019) Trigger-action programming for personalising humanoid robot behavior. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-13)
Li X, Schroeter R, Rakotonirainy A, Kuo J, Lenné MG (2020) Effects of different non-driving-related-task display modes on drivers’ eye-movement patterns during take-over in an automated vehicle. Transport Res Part F: Traffic Psychol Behav 70:135–148
Article
Google Scholar
Lindblom J, Alenljung B, Billing E. (2020) Evaluating the user experience of human–robot interaction. In Human-Robot Interaction (pp. 231-256). Springer, Cham
Lo CH, Wang YW (2019) Constructing an evaluation model for user experience in an unmanned store. Sustainability 11(18):4965
Article
Google Scholar
McCall R, Mcgee, F, Meschtscherjakov A, Louveton N, Engel T (2016) Towards a taxonomy of autonomous vehicle handover situations. In Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 193–200)
Meneweger T, Wurhofer D, Fuchsberger V, Tscheligi M (2018) Factory workers’ ordinary user experiences: an overlooked perspective. Hum Technol 14(2):209–232. https://doi.org/10.17011/ht/urn.201808103817
Article
Google Scholar
Merritt SM, Lee D, Unnerstall JL, Huber K (2015) Are well-calibrated users effective users? Associations between calibration of trust and performance on an automation-aided task. Hum Factors 57(1):34–47
Article
Google Scholar
Millonig A, Fröhlich P (2018) Where autonomous buses might and might not bridge the gaps in the 4 A’s of public transport passenger needs: a review. In Proceedings of the 10th international conference on automotive user interfaces and interactive vehicular applications (AutomotiveUI ‘18). Association for Computing Machinery, New York, NY, USA, 291–297. DOI:https://doi.org/10.1145/3239060.3239079
Millonig A, Haustein S (2020) Human factors of digitalized mobility forms and services. Eur Transp Res Rev 12(1)
Mirnig AG, Meschtscherjakov A (2019) Trolled by the trolley problem: on what matters for ethical decision making in automated vehicles. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-10)
Mirnig AG, Gärtner M, Wallner V, Trösterer S, Meschtscherjakov A, Tscheligi M (2019) Where does it go? A study on visual on-screen designs for exit management in an automated shuttle bus. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ‘19). Association for Computing Machinery, New York, NY, USA, 233–243. DOI:https://doi.org/10.1145/3342197.3344541
Neumeier S, Wintersberger P, Frison AK, Becher A, Facchi C, Riener A (2019) Teleoperation: the holy grail to solve problems of automated driving? Sure, but latency matters. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 186–197)
Nguyen T, Lim CP, Nguyen ND, Brown L, Nahavandi S (2019) A review of situation awareness assessment approaches in aviation environments. IEEE Syst J 13(3):3590–3603
Article
Google Scholar
Palanque P (2018) Engineering automations: from a human factor perspective to design, implementation and validation challenges. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’18). Assoc Comput Mach New York, NY, USA 2:1–2. https://doi.org/10.1145/3220134.3223044
Article
Google Scholar
Parasuraman R, Riley V (1997) Humans and automation: use, misuse, disuse, abuse. Hum Factors 39(2):230–253
Article
Google Scholar
Parasuraman R, Sheridan TB, Wickens CD (2000) A model for types and levels of human interaction with automation. IEEE Trans Syst Man Cybern-Part A: Syst Humans 30(3):286–297
Article
Google Scholar
Pierce J, Strengers Y, Sengers P, Bødker S (2013) Introduction to the special issue on practice-oriented approaches to sustainable HCI. ACM Trans Comput-Hum Interact 20(4):Article 20, 8 pages. https://doi.org/10.1145/2494260
Article
Google Scholar
Reisinger MR, Schrammel J, Fröhlich P (2017) Visual languages for smart spaces: end-user programming between data-flow and form-filling. In 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 165-169). IEEE
Riener A, Gabbard J, Trivedi M (2019) Special issue of presence: virtual and augmented reality for autonomous driving and intelligent vehicles: guest editors’ introduction
Rohr C, Ecola L, Zmud J, Dunkerley F, Black J, Baker E. (2016) Travel in Britain in 2035: future scenarios and their implications for technology innovation. In Innovate UK from https://www.rand.org/pubs/research_reports/RR1377.html
SAE On-Road Automated Vehicle Standards Committee (2018) Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. Warrendale, SAE International
Google Scholar
Schmidt A (2000) Implicit human computer interaction through context. Pers Technol 4(2):191–199
Article
Google Scholar
Schmidt A, Herrmann T (2017) Intervention user interfaces: a new interaction paradigm for automated systems. Interactions 24(5):40–45
Article
Google Scholar
Schmidt A, Kranz M, Holleis P (2005) Interacting with the ubiquitous computer: towards embedding interaction. In Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies (pp. 147-152)
Serim B, Jacucci G (2019) Explicating “implicit interaction” an examination of the concept and challenges for research. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-16)
Sheridan TB (1992) Telerobotics, automation and human supervisory control. The MIT press, Cambridge
Google Scholar
Sheridan TB (2019) Individual differences in attributes of trust in automation: measurement and application to system design. Front Psychol 10:1117
Article
Google Scholar
Sheridan TB, Verplank WL (1978) Human and computer control of undersea teleoperators. Tech rep MIT man-machine systems laboratory. MA, Cambridge
Book
Google Scholar
Shneiderman B (2020) Human-centered artificial intelligence: reliable, safe & trustworthy. Int J Human–Comput Interact 36(6):495–504
Article
Google Scholar
Shneiderman B, Plaisant C, Cohen M, Jacobs S, Elmqvist N (2016) Designing the user Interface: strategies for effective human-computer interaction, Sixth Edition, Pearson (May 2016)
Srinivasan V, Koehler C, Jin H (2018) RuleSelector: selecting conditional action rules from user behavior patterns. Proc ACM Interact Mob Wearable Ubiquitous Technol 2(1):Article 35 34 pages
Article
Google Scholar
Streitz N, Nixon P (2005) The disappearing computer. Communications-ACM 48(3):32–35
Article
Google Scholar
Tabassum M, Kosinski T, Lipford HR (2019) “I don’t own the data”: end user perceptions of smart home device data practices and risks. In Fifteenth Symposium on Usable Privacy and Security ({SOUPS} 2019)
Tigwell GW, Crabb M (2020) Household surface interactions: understanding user input preferences and perceived home experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-14)
Trösterer S, Meschtscherjakov A, Mirnig AG, Lupp A, Gärtner M, McGee F, McCall R, Tscheligi M, Engel T. (2017) What we can learn from pilots for handovers and (De)skilling in semi-autonomous driving: an interview study. In Proceedings of the 9th international conference on automotive user interfaces and interactive vehicular applications (AutomotiveUI ‘17). Association for Computing Machinery, New York, NY, USA, 173–182. DOI:https://doi.org/10.1145/3122986.3123020
Vagia M, Transeth AA, Fjerdingen SA (2016) A literature review on the levels of automation during the years. What are the different taxonomies that have been proposed? Appl Ergon 53:190–202
Article
Google Scholar
van der Heiden RM, Janssen CP, Donker SF, Kenemans, JL (2020) The effect of cognitive load on auditory susceptibility during automated driving. Utrecht University
Vitor R, Keller B, D'Angelo T, Azpurua H, Bianchi AG, Delabrida S (2019) Collaborative teleoperation evaluation for drones. In Proceedings of the 18th Brazilian Symposium on Human Factors in Computing Systems (pp. 1-11)
Weiser M (1991) The computer for the 21 st century. Sci Am 265(3):94–105
Article
Google Scholar
Wright P, McCarthy J (2010) Experience-centered design: designers, users, and communities in dialogue. Synthesis Lectures Human-Centered Inform 3(1) (2017/04/13 2010):1–123. https://doi.org/10.2200/S00229ED1V01Y201003HCI009
Article
Google Scholar
Zeng E, Roesner F (2019) Understanding and improving security and privacy in multi-user smart homes: a design exploration and in-home user study. In 28th {USENIX} Security Symposium ({USENIX} Security 19) (pp. 159-176)