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

Authors:

Pei-Luen Patrick Rau,

Yun Gong,

Yi-Bo Dai,

Chieh ChengAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1501 - 1506

https://doi.org/10.1145/2702613.2732869

Published: 18 April 2015 Publication History

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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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Knierim MBraun LPerusquia-Hernandez M(2024)Warmth on Demand: Designing Headphones for Enhanced Thermal Comfort in Work EnvironmentsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650884(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650884
Bremer CBates ORemy CGormally-Sutton AKnowles BFriday A(2023)COVID-19 as an Energy Intervention: Lockdown Insights for HCIExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585896(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585896
Ji XZhao JRau P(2022)Designing a Voice Intelligent Agent: A Review and AppraisalHuman-Automation Interaction10.1007/978-3-031-10788-7_8(143-162)Online publication date: 15-Dec-2022
https://doi.org/10.1007/978-3-031-10788-7_8
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Index Terms

Promote Energy Conservation in Automatic Environment Control: A Comfort-Energy Trade-off Perspective
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

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

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Work in progress

Funding Sources

National Science Foundation China

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CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

Sponsor:
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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

View all

Knierim MBraun LPerusquia-Hernandez M(2024)Warmth on Demand: Designing Headphones for Enhanced Thermal Comfort in Work EnvironmentsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650884(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650884
Bremer CBates ORemy CGormally-Sutton AKnowles BFriday A(2023)COVID-19 as an Energy Intervention: Lockdown Insights for HCIExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585896(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585896
Ji XZhao JRau P(2022)Designing a Voice Intelligent Agent: A Review and AppraisalHuman-Automation Interaction10.1007/978-3-031-10788-7_8(143-162)Online publication date: 15-Dec-2022
https://doi.org/10.1007/978-3-031-10788-7_8
Ji XZhao JRau P(2021)Manage Your Agents: An Automatic Tool for Classification of Voice Intelligent AgentsCross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents10.1007/978-3-030-77080-8_29(369-383)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-77080-8_29
Sun HRau PWang B(2021)A Study of Machine Ethics in Human-Artificial Intelligence InteractionsCross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development10.1007/978-3-030-77077-8_29(374-395)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-77077-8_29
Rau PGong YHuang HWen J(2016)A Systematic Study for Smart Residential Thermostats: User Needs for the Input, Output, and Intelligence LevelBuildings10.3390/buildings60200196:2(19)Online publication date: 29-Apr-2016
https://doi.org/10.3390/buildings6020019

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