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Promote Energy Conservation in Automatic Environment Control: A Comfort-Energy Trade-off Perspective

Published:18 April 2015Publication History

ABSTRACT

Recent study reported that users were shutting down their smart thermostat due to the poor performance in comfort and energy saving. This study aims to explore how automation in energy conservation system should be designed from a new perspective: comfort-energy trade-off. Scenario-based survey was conducted with 106 participants. Results showed that monitored control (high level of automation) was most satisfied in energy-saving-motivated control scenario and consensual control (low level of automation) was most satisfied in comfort-motivated control scenario. Users perceived the same sense of control in consensual control and monitored control as in manual control (no automation) in most scenarios. Thus, the results indicated that automatic environment control should not always be the same, but adaptively designed in accordance with specific comfort-energy trade-off situations, considering different control scenario, personal requirement and culture.

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    • Published in

      cover image ACM Conferences
      CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
      April 2015
      2546 pages
      ISBN:9781450331463
      DOI:10.1145/2702613

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

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      • Work in Progress

      Acceptance Rates

      CHI EA '15 Paper Acceptance Rate379of1,520submissions,25%Overall Acceptance Rate6,164of23,696submissions,26%

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