MySmartE – An eco-feedback and gaming platform to promote energy conserving thermostat-adjustment behaviors in multi-unit residential buildings

MySmartE – An eco-feedback and gaming platform to promote energy conserving thermostat-adjustment behaviors in multi-unit residential buildings
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MySmartE — 一个生态反馈和游戏平台,用于促进多单元住宅建筑的节能恒温器调节行为

DOI:
10.1016/j.buildenv.2022.109252
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发表时间:
2022
影响因子:
7.4
通讯作者:
Rayz, Julia Taylor
Rayz, Julia Taylor
中科院分区:
工程技术1区
文献类型:
--
作者:
Kim, Huijeong;Ham, Sangwoo;Promann, Marlen;Devarapalli, Hemanth;Bihani, Geetanjali;Ringenberg, Tatiana;Kwarteng, Vanessa;Bilionis, Ilias;Braun, James E.;Rayz, Julia Taylor

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在本文中,我们提出了一个第一次基于云的生态反馈和游戏平台,旨在促进节能恒温调节行为在多单元住宅建筑。为了实现这一目标,我们引入了一种新的建模方法,将个性化的生态反馈设计与协作社交游戏相结合,以帮助居民提高他们的恒温器使用,同时促进社区层面的节能。我们的建模框架被集成到一个基于云的应用程序,MySmartE,与视觉(壁挂式平板电脑)和语音(Alexa)用户界面,以促进以用户为中心的方法的行为变化。该平台部署在印第安纳州韦恩堡的多单元住宅社区中,并且来自现场研究的数据用于调查:(i)使用MySmartE应用程序后居住者的恒温器行为如何改变;(ii)用户在游戏期间如何与应用程序交互;以及(iii)用户对开发的平台的体验如何。尽管家庭的异质性特征,从现场研究的结果表明,在恒温器调节行为的干预,这导致了在冷却季节的室内温度相比,基线增加的积极影响。用户交互分析和实验后访谈的结果也揭示了利用开发的平台推动家庭节能行为的巨大潜力,沿着应该解决的挑战,以获得长期的行为改变。
In this paper, we present a first-time cloud-based eco-feedback and gaming platform that aims to promote energy conserving thermostat-adjustment behaviors in multi-unit residential buildings. To achieve this goal, we introduce a new modeling approach for personalized eco-feedback design integrated with a collaborative social game to assist residents enhance their thermostat use while promoting community-level energy savings. Our modeling framework is integrated into a cloud-based application, MySmartE, with visual (wall-mounted tablet) and voice (Alexa) user interfaces to facilitate behavioral changes in a user-centric approach. The platform is deployed in a multi-unit residential community in Fort Wayne, IN, and data from the field study are used to investigate: (i) how occupants' thermostat behaviors changed after using the MySmartE app; (ii) how users interacted with the app during the game; and (iii) how was users' experience with the developed platform. Despite the heterogeneous characteristics of households, the results from the field study showed the positive effect of the intervention in the thermostat-adjustment behaviors, which resulted in an increase in the indoor temperature during the cooling season compared to the baseline. Findings from the user interaction analysis and post-experiment interviews also revealed the significant potential to nudge households’ energy conservation behaviors with the developed platform along with the challenges that should be tackled to derive long-term behavior changes.
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