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Residents' Perceptions of Behavioral Reference Groups for Personalized Normative Messaging Interventions

机译:居民对个性化规范信息的行为参考群体的看法

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Reporting normative feedback to residential energy consumers has been found effective at reducing residential energy consumption. Upon receiving normative feedback households tend to modify their use to become in line with group norms. The effect of normative messages is partially moderated by how personally relevant normative reference groups are to the individual. Advanced energy metering technologies capture households' energy use patterns, making it possible to generate highly similar and relevant normative reference groups in a non-invasive manner. Unfortunately, it is not well understood how similar individuals are to other group members. It also remains unknown how much individuals identify with behavioral reference groups. Therefore, this research aims to investigate how households perceive behavioral reference groups used in normative comparisons. Survey questionnaires are collected from 2,008 participants using Amazon Mechanical Turk. It is found that while households' behaviors are more similar when grouped based on energy use profiles than based on geographic proximity, they identify more closely with proximity-based groups. Also, members' group identification increases as individuals have higher similarity in energy use behaviors with other group members. This implies that enhancing the identity of profile-based behavioral reference groups will lead to an increase in norm adherence, and in turn reductions in household energy use.
机译:已发现对住宅能源消费者的规范反馈有效地减少了居住能耗。收到规范性反馈家庭倾向于修改其使用,以符合群体规范。通过个人相关的规范参考组是如何对个人进行的,部分地调节规范信息的效果。先进的能量计量技术捕获家庭的能量使用模式,使得可以以非侵入性方式产生高度相似和相关的规范参考组。不幸的是,它尚不清楚如何与其他群体成员相似。它还仍然是有多少个体识别行为参考群体。因此,本研究旨在调查家庭如何感知在规范性比较中使用的行为参考组。使用亚马逊机械土耳其人的2,008名参与者收集调查问卷。发现,虽然根据能量使用配置文件分组,但家庭行为比基于地理接近程度更相似,但它们更接近基于近距离的组。此外,随着个人在与其他组成员的能量使用行为中具有更高的相似性,成员的组识别增加增加。这意味着提高基于概况的行为参考组的身份将导致规范遵守的增加,并且在家庭能源使用中减少。

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