ABSTRACT
Everyday systems and devices in the home are becoming smarter. In order to better understand the challenges of deploying an intelligent system in the home, we studied the experience of living with an advanced thermostat, the Nest. The Nest utilizes machine learning, sensing, and networking technology, as well as eco-feedback features. We conducted interviews with 23 participants, ten of whom also participated in a three-week diary study. Our findings show that while the Nest was well-received overall, the intelligent features of the Nest were not perceived to be as useful or intuitive as expected, in particular due to the system's inability to understand the intent behind sensed behavior and users' difficulty in understanding how the Nest works. A number of participants developed workarounds for the shortcomings they encountered. Based on our observations, we propose three avenues for future development of interactive intelligent technologies for the home: exception flagging, incidental intelligibility, and constrained engagement.
- Bellotti, V., and Edwards, W. Intelligibility and accountability: human considerations in context-aware systems. Human--Computer Interaction 16, 2--4 (2001), 193--212. Google ScholarDigital Library
- Brush, A., et al. Home automation in the wild: challenges and opportunities. In Proc. CHI 2011, 2115--2124. Google ScholarDigital Library
- Cook, D.J., et al. MavHome: An agent-based smart home. PerCom 2003, 521--524. Google ScholarDigital Library
- Dey, A.K., Rosenthal, S., and Veloso, M. Using Interaction to Improve Intelligence: How Intelligent Systems Should Ask Users for Input. Presented at the Workshop on Intelligence and Interaction: IJCAI 2009.Google Scholar
- Edwards, W.K and Grinter, R.E. At home with ubiquitous computing: seven challenges. In Proc. Ubicomp 2001, 256--272. Google ScholarDigital Library
- U.S. Energy Information Administration, Annual Energy Review, September 27, 2012Google Scholar
- Froehlich, J., Findlater, L., and Landay, J. The design of eco-feedback technology. In Proc. CHI 2010, 1999--2008. Google ScholarDigital Library
- Gupta, M., Intille, S., and Larson, K. Adding gps-control to traditional thermostats: An exploration of potential energy savings and design challenges. In Proc. Pervasive 2009, 95--114. Google ScholarDigital Library
- Intille, S.S. Designing a home of the future. IEEE Pervasive Computing 1, 2 (2002), 76--82. Google ScholarDigital Library
- Kidd, C., et al. The aware home: A living laboratory for ubiquitous computing research. In Proc. CoBuild 1999, 191--198. Google ScholarDigital Library
- Kulesza, T., et al. Fixing the program my computer learned: Barriers for end users, challenges for the machine. In Proc. IUI 2009, 187--196. Google ScholarDigital Library
- Lim, B.Y., Dey, A.K., and Avrahami, D. Why and why not explanations improve the intelligibility of context-aware intelligent systems. In Proc. CHI 2009, 2119--2128. Google ScholarDigital Library
- Mackay, W.E. Responding to cognitive overload: Co-adaptation between users and technology. Intellectica 30, 1 (2000), 177--193.Google Scholar
- Mennicken, S. and Huang, E. Hacking the natural habitat: an in-the-wild study of smart homes, their development, and the people who live in them. In Proc. Pervasive 2012, 143--160. Google ScholarDigital Library
- Mozer, M.C. Lessons from an Adaptive Home. In D.J. Cook and S.K. Das, eds., Smart Environments. John Wiley & Sons, Inc., 2005, 271--294.Google Scholar
- O'Brien, J., et al. At home with the technology: an ethnographic study of a set-top-box trial. ACM ToCHI 6, 3 (1999), 282--308. Google ScholarDigital Library
- Orlikowski, W.J. The Duality of Technology. Organization science 3, 3 (1992), 398--427.Google Scholar
- Peffer, T., et al. How people use thermostats in homes: A review. Building and Environment, (2011).Google ScholarCross Ref
- Poole, E.S., et al. Computer help at home: methods and motivations for informal technical support. In Proc. CHI 2009, 739--748. Google ScholarDigital Library
- Rode, J.A., Toye, E.F., and Blackwell, A.F. The fuzzy felt ethnography--understanding the programming patterns of domestic appliances. Personal and Ubiquitous Computing 8, 3--4 (2004), 161--176. Google ScholarDigital Library
- Rogers, Y. Moving on from Weiser's vision of calm computing : engaging UbiComp experiences. In Proc. Ubicomp 2006, 404--42 Google ScholarDigital Library
- Scott, J., et al. PreHeat: controlling home heating using occupancy prediction. Proc. Ubicomp 2011, 281--290. Google ScholarDigital Library
- Strengers, Y.A.A. Designing eco-feedback systems for everyday life. In Proc. CHI 2011, 2135--2144. Google ScholarDigital Library
- Stumpf, S., et al. Interacting meaningfully with machine learning systems: Three experiments. International Journal of Human-Computer Studies 67, 8 (2009), 639--662. Google ScholarDigital Library
- Suchman, L. Human-machine reconfigurations: Plans and situated actions. Cambridge University Press, 2006. Google ScholarDigital Library
- Takayama, L., et al. Making Technology Homey: Finding Sources of Satisfaction and Meaning in Home Automation. In Proc. Ubicomp 2012, 511--520 Google ScholarDigital Library
- Tullio, J., et al. How it works: a field study of non-technical users interacting with an intelligent system. In Proc. CHI 2007, 31--40. Google ScholarDigital Library
- Weiser, M. The computer for the 21st century. Scientific American 265, 3 (1991), 94--104.Google ScholarCross Ref
- Yang, R. and Newman, M.W. Living with an intelligent thermostat: Advanced control for heating and cooling systems. Presented at the HomeSys 2012 Workshop: Ubicomp 2012. Google ScholarDigital Library
- Smart Digital Appliances You Wish You Owned - CNBC. http://www.cnbc.com/id/46807536.Google Scholar
- Nest | Home. http://www.nest.com/.Google Scholar
- Nest | Reviews. http://nest.com/reviews/.Google Scholar
- Catch.com. https://catch.com/.Google Scholar
Index Terms
- Learning from a learning thermostat: lessons for intelligent systems for the home
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