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

Rayoung Yang, Devika Pisharoty, S. Montazeri, K. Whitehouse, Mark W. Newman
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引用次数: 17

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.
生态教练如何帮助节约能源?评估节能恒温器调度的推荐系统
本文介绍了一项实地部署的研究结果,该研究探索了一种我们称之为生态指导的设计方法:为减少能源浪费的具体行动提供个性化建议。我们研究了ThermoCoach,它对恒温器调度进行生态指导。它可以感知和模拟家庭中的占用模式,并为居住者提供配置恒温器的替代建议。我们的研究表明,生态教练完成了四件事。首先,它使用户更容易实施有效的恒温时间表。其次,它支持用户机构就节能和舒适目标进行谈判。第三,它有助于学习不同的调度策略,并权衡不同的选择。最后,它挑战了用户对自己做得有多好的信念。这些结果反过来又成功地促使用户采用和尝试更有效的挫折策略。展望未来,我们提出了生态指导系统可以更好地支持用户定制和评估系统建议的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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