Abstract
Smart systems are becoming increasingly ubiquitous and consequently transforming our lives. The level of system autonomy plays a vital role in the development of smart systems as it profoundly affects how people and these systems interact with each other. However, to date, there are very few studies on human interaction with such systems. This paper presents findings from two field studies where two different prototypes for automating energy tariff-switching were developed and evaluated in the wild. Both prototypes offer flexible autonomy by which users can shift the system's level of autonomy among three options: suggestion-only, semi-autonomy, and full autonomy, whenever they like. Our findings based on thematic analysis show that flexible autonomy is a promising way to sustain users' engagement with smart systems, despite their occasional mistakes. The findings also suggest that users take responsibility for the undesired outcomes of automated actions when delegation of autonomy can be adjusted flexibly.
- A. T. Alan, E. Costanza, J. Fischer, S. D. Ramchurn, T. Rodden, and N. R. Jennings. 2014. A field study of human-agent interaction for electricity tariff switching. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 965--972. http://dl.acm.org/citation. cfm?id=2617388.2617400 Google ScholarDigital Library
- A. T. Alan, S. D. Ramchurn, T. Rodden, E. Costanza, J. Fischer, and N. R. Jennings. 2015. Managing energy tariffs with agents: A field study of a future smart energy system at home. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers (UbiComp/ISWC'15 Adjunct). ACM, New York, NY, USA, 1551--1558. DOI:http://dx.doi.org/10.1145/2800835.2801626 Google ScholarDigital Library
- L. Barkhuus and A. Dey. 2003. Is context-aware computing taking control away from the user? Three levels of interactivity examined. In Ubiquitous Computing (Ubicomp) 2003.Google Scholar
- J. Bourgeois, J. van der Linden, G. Kortuem, B. A. Price, and C. R. Rimmer. 2014. Conversations with my washing machine: An in-the-wild study of demand shifting with self-generated energy. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'14). ACM, New York, NY, USA, 459--470. DOI:http://dx.doi.org/10.1145/2632048.2632106 Google ScholarDigital Library
- V. Braun and V. Clarke. 2006. Using thematic analysis in psychology. Qual. Res. Psychol. 3, 2 (2006), 77--101.Google ScholarCross Ref
- E. Costanza, J. E. Fischer, J. A. Colley, T. Rodden, S. D. Ramchurn, and N. R. Jennings. 2014. Doing the laundry with agents: A field trial of a future smart energy system in the home. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'14). ACM, New York, NY, USA, 813--822. DOI:http://dx.doi.org/10.1145/2556288.2557167 Google ScholarDigital Library
- S. Darby. 2006. The Effectiveness of Feedback on Energy Consumption: A Review for DEFRA of the Literature on Metering, Billing and Direct Displays. Technical Report. Environmental Change Institute, University of Oxford, Oxford, UK. http://www.eci.ox.ac.uk/research/energy/electric-metering.php.Google Scholar
- C. DiSalvo, P. Sengers, and H. Brynjarsdóttir. 2010. Mapping the landscape of sustainable HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'10). ACM, New York, NY, USA, 1975--1984. DOI:http://dx.doi.org/10.1145/1753326.1753625 Google ScholarDigital Library
- C. Fischer. 2008. Feedback on household electricity consumption: A tool for saving energy? Energy Eff. 1, 1 (2008), 79--104. DOI:http://dx.doi.org/10.1007/s12053-008-9009-7Google ScholarCross Ref
- J. Froehlich, L. Findlater, and J. Landay. 2010. The design of eco-feedback technology. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'10). ACM, New York, NY, USA, 1999--2008. DOI:http://dx.doi.org/10.1145/1753326.1753629 Google ScholarDigital Library
- M. Gupta, S. S. Intille, and K. Larson. 2009. Adding GPS-control to traditional thermostats: An exploration of potential energy savings and design challenges. In Proceedings of the 7th International Conference on Pervasive Computing (Pervasive'09). Springer-Verlag, Berlin, Heidelberg, 95--114. DOI:http://dx.doi.org/10.1007/978-3-642-01516-8_8 Google ScholarDigital Library
- E. Horvitz. 1999. Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'99). ACM, New York, NY, USA, 159--166. DOI:http://dx.doi.org/10.1145/302979.303030 Google ScholarDigital Library
- N. R. Jennings, L. Moreau, D. Nicholson, S. D. I. Ramchurn, S. Roberts, T. Rodden, and A. Rogers. 2014. Human-agent collectives. Commun. ACM 57, 12 (Dec. 2014), 80--88. DOI:http://dx.doi.org/10.1145/2629559 Google ScholarDigital Library
- A. Kerne, E. Koh, S. M. Smith, A. Webb, and B. Dworaczyk. 2008. combinFormation: Mixed-initiative composition of image and text surrogates promotes information discovery. ACM Trans. Inf. Syst. 27, 1, Article 5 (Dec. 2008), 45 pages. DOI:http://dx.doi.org/10.1145/1416950.1416955 Google ScholarDigital Library
- D. J. C. MacKay. 2009. Sustainable Energy—Without the Hot Air (1st ed.). UIT Cambridge Ltd., Cambridge, UK.Google Scholar
- J. Pierce and E. Paulos. 2010. Materializing energy. In Proceedings of the 8th ACM Conference on Designing Interactive Systems (DIS'10). ACM, New York, NY, USA, 113--122. DOI:http://dx.doi.org/ 10.1145/1858171.1858193 Google ScholarDigital Library
- J. Pierce and E. Paulos. 2012. Beyond energy monitors: Interaction, energy, and emerging energy systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'12). ACM, New York, NY, USA, 665--674. DOI:http://dx.doi.org/10.1145/2207676.2207771 Google ScholarDigital Library
- S. D. Ramchurn, P. Vytelingum, A. Rogers, and N. R. Jennings. 2012. Putting the ‘smarts’ into the smart grid: A grand challenge for artificial intelligence. Commun. ACM 55, 4 (April 2012), 86--97. DOI:http://dx.doi.org/10.1145/2133806.2133825 Google ScholarDigital Library
- T. Rodden, J. Fischer, N. Pantidi, K. Bachour, and S. Moran. 2013. At home with agents: Exploring attitudes towards future smart energy infrastructures. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'13). ACM, New York, NY, USA, 1173--1182. DOI:http://dx.doi.org/ 10.1145/2470654.2466152 Google ScholarDigital Library
- Y. Rogers, K. Connelly, L. Tedesco, W. Hazlewood, A. Kurtz, R. E. Hall, J. Hursey, and T. Toscos. 2007. Why it's worth the hassle: The value of in-situ studies when designing ubicomp. In Proceedings of the 9th International Conference on Ubiquitous Computing (UbiComp'07). Springer-Verlag, Berlin, Heidelberg, 336--353. http://dl.acm.org/ citation.cfm?id=1771592.1771612 Google ScholarDigital Library
- C. Sas, S. Whittaker, S. Dow, J.i Forlizzi, and J. Zimmerman. 2014. Generating implications for design through design research. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'14). ACM, New York, NY, USA, 1971--1980. DOI:http://dx.doi.org/10.1145/2556288.2557357 Google ScholarDigital Library
- P. Scerri, D. Pynadath, and M. Tambe. 2002. Towards adjustable autonomy for the real-world. Journal of Artif. Intell. Res. 17 (2002), 171--228. Google ScholarDigital Library
- T. Schwartz, G. Stevens, L. Ramirez, and V. Wulf. 2013. Uncovering practices of making energy consumption accountable: A phenomenological inquiry. ACM Trans. Comput.-Hum. Interact. 20, 2, Article 12 (May 2013), 30 pages. DOI:http://dx.doi.org/10.1145/2463579.2463583 Google ScholarDigital Library
- R. E. Slavin, J. S. Wodarski, and B. L. Blackburn. 1981. A group contingency for electricity conservation in master-metered apartments. J. Appl. Behav. Anal. 14, 3 (1981), 357--97. DOI:http://dx.doi.org/ 10.1901/jaba.1981.14-357Google ScholarCross Ref
- N. Stout, A. R. Dennis, and T. M. Wells. 2014. The buck stops there: The impact of perceived accountability and control on the intention to delegate to software agents. AIS Trans. Hum.-Comput. Interact. 6, 1 (2014), 1--15. http://aisel.aisnet.org/thci/vol6/iss1/15.Google ScholarCross Ref
- Y. A. A. Strengers. 2011. Designing eco-feedback systems for everyday life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'11). ACM, New York, NY, USA, 2135--2144. DOI:http://dx.doi.org/10.1145/1978942.1979252 Google ScholarDigital Library
- N. C. Truong, J. McInerney, L. Tran-Thanh, E. Costanza, and S. D. Ramchurn. 2013. Forecasting multi-appliance usage for smart home energy management. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI'13). AAAI Press, 2908--2914. http://dl.acm.org/ citation.cfm?id=2540128.2540547 Google ScholarDigital Library
- R. Yang and M. W. Newman. 2013. Learning from a learning thermostat: Lessons for intelligent systems for the home. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'13). ACM, New York, NY, USA, 93--102. DOI:http://dx.doi.org/ 10.1145/2493432.2493489 Google ScholarDigital Library
- R. Yang, M. W. Newman, and J. Forlizzi. 2014. Making sustainability sustainable: Challenges in the design of eco-interaction technologies. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'14). ACM, New York, NY, USA, 823--832. DOI:http://dx.doi.org/10.1145/2556288.2557380 Google ScholarDigital Library
- J. Zimmerman, K. Rivard, I. Hargraves, A. Tomasic, and K. Mohnkern. 2009. User-created forms as an effective method of human-agent communication. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'09). ACM, New York, NY, USA, 1869--1878. DOI:http://dx.doi.org/ 10.1145/1518701.1518988 Google ScholarDigital Library
Index Terms
- Tariff Agent: Interacting with a Future Smart Energy System at Home
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