How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling

Rayoung Yang, Devika Pisharoty, Soodeh Montazeri, Kamin Whitehouse, Mark W. Newman

Research output: ResearchConference contribution

  • 2 Citations

Abstract

This paper presents findings from a field deployment that explored a design approach we call eco-coaching: giving personalized suggestions for specific actions that would reduce wasted energy. We studied ThermoCoach, which performs eco-coaching for thermostat scheduling. It senses and models occupancy patterns in a home, and provides occupants alternative suggestions for configuring their thermostat. Our study shows that eco-coaching accomplished four things. First, it made it easier for users to implement an effective thermostat schedule. Second, it supported user agency in negotiating energy savings and comfort goals. Third, it facilitated learning different scheduling strategies as well as weighing different options. Finally, it challenged users' beliefs about how well they were doing. These outcomes, in turn, were successful in getting users to employ and experiment with more efficient setback strategies. Going forward, we propose ways that eco-coaching systems could better support users in customizing and assessing the systems' recommendations.

LanguageEnglish (US)
Title of host publicationUbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages1176-1187
Number of pages12
ISBN (Electronic)9781450344616
DOIs
StatePublished - Sep 12 2016
Event2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany
Duration: Sep 12 2016Sep 16 2016

Other

Other2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
CountryGermany
CityHeidelberg
Period9/12/169/16/16

Fingerprint

Thermostats
Recommender systems
Scheduling
Weighing
Energy conservation
Experiments

Keywords

  • Eco-coaching
  • Energy savings
  • Sustainability
  • Thermostat

ASJC Scopus subject areas

  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Software
  • Human-Computer Interaction

Cite this

Yang, R., Pisharoty, D., Montazeri, S., Whitehouse, K., & Newman, M. W. (2016). How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling. In UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1176-1187). Association for Computing Machinery, Inc. DOI: 10.1145/2971648.2971698

How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling. / Yang, Rayoung; Pisharoty, Devika; Montazeri, Soodeh; Whitehouse, Kamin; Newman, Mark W.

UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. p. 1176-1187.

Research output: ResearchConference contribution

Yang, R, Pisharoty, D, Montazeri, S, Whitehouse, K & Newman, MW 2016, How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling. in UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 1176-1187, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 9/12/16. DOI: 10.1145/2971648.2971698
Yang R, Pisharoty D, Montazeri S, Whitehouse K, Newman MW. How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling. In UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2016. p. 1176-1187. Available from, DOI: 10.1145/2971648.2971698
Yang, Rayoung ; Pisharoty, Devika ; Montazeri, Soodeh ; Whitehouse, Kamin ; Newman, Mark W./ How does eco-coaching help to save energy? Assessing a recommendation system for energy-efficient thermostat scheduling. UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2016. pp. 1176-1187
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