一个级联模型,以推动员工在三级建筑中的节能行为
Ilias Kalamaras1, Rubén Sánchez-Corcuera2, Diego Casado-Mansilla3
1Information Technologies Institute - Centre for Research and Technology Hellas, Thessaloniki, Greece.
PloS one
|May 16, 2024
概括
这项研究开发了一个个性化的框架,以确定影响建筑物能源效率 (EE) 行为的最佳说服策略. 它使用用户数据来定制消息,增加参与度和促进可持续实践.
科学领域:
- 环境心理学 环境心理学
- 建筑科学 建筑科学
- 人与计算机的交互
背景情况:
- 居住者的行为显著影响建筑物的能源效率 (EE).
- 目前的方法往往缺乏个性化,导致人们不再关注节能建议.
- 了解用户特征是激励亲环境行为改变的关键.
研究的目的:
- 自动识别针对个人用户量身定制的最佳说服策略 (PS),以影响能源效率决策.
- 开发一个数据驱动的框架,以个性化对第三级建筑物进行干预.
- 提高员工对节能习惯的参与度.
主要方法:
- 一个利用743名欧洲调查受访者的文化特征和社会经济信息的框架.
- 一系列数据驱动的预测模型,包括矩阵分解和随机森林回归.
- 根据用户偏好对说服策略进行排名,并计算得分以进行最佳选择.
主要成果:
- 个性化的框架比非个性化的方法更准确.
- 确定了影响EE干预有效性的关键用户特征.
- 揭示了基于用户数据的最有效的说服策略.
结论:
- 个性化对于激励建筑物居住者进行亲环境行为改变至关重要.
- 开发的框架提供了一个可扩展的方法来优化EE干预.
- 未来的研究应该利用用户数据来设计更有效,更有针对性的节能活动.
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