Stimulating households to save energy with behaviour change support systems is a challenge and an opportunity to support efforts towards more sustainable energy consumption. The approaches developed so far, often either; do not consider the underlying behaviour change process in a systematic way, or do not provide a systematic linking of design elements to findings from behaviour change literature and the design of persuasive systems. This paper discusses the design and evaluation of a holistic socio-technical behaviour change system for energy saving that combines insights from behavioural theories and the persuasive system design in a systematic way. The findings from these two streams of research are combined into an integrated socio-technical model for informing the design of a behaviour change system for energy saving, which is then implemented in a concrete system design. The developed system combines smart meter data with interactive visualisations of energy consumption and energy saving impact, gamified incentive mechanisms, energy saving recommendations and attention triggers. The system design distinguishes between a version with non-personalized energy saving tips and a version with personalized recommendations that are deployed and evaluated separately. In this paper, we present the design and evaluation results of the non-personalized system in a real-world pilot. Obtained results indicate reduced energy consumption compared to a control group and a positive change in energy knowledge in the treatment group using the system, as well as positive user feedback about the suitability of the designed system to encourage energy saving.

中文翻译：

---

设计一个集成的社会技术行为改变系统以节能

通过行为改变支持系统激励家庭节省能源，既是挑战，也是支持更加可持续的能源消耗努力的机会。到目前为止，通常已经开发出了这些方法。不要以系统的方式考虑潜在的行为改变过程，或者没有提供设计元素与行为改变文献和说服系统设计的发现之间的系统链接。本文讨论了一种用于节能的整体社会技术行为改变系统的设计和评估，该系统结合了行为理论和说服系统设计的系统性见解。来自这两个研究流的研究结果被组合到一个集成的社会技术模型中，以告知设计行为改变系统以实现节能，然后在具体的系统设计中实施。开发的系统将智能电表数据与能耗和节能影响的互动可视化，游戏化激励机制，节能建议和关注触发因素结合在一起。系统设计区分具有非个性化节能提示的版本和具有个性化建议的版本，这些版本分别进行部署和评估。在本文中，我们介绍了在实际试验中非个性化系统的设计和评估结果。获得的结果表明，与对照组相比，能耗降低了，使用该系统的治疗组的能量知识也发生了积极变化，并且用户积极反馈了有关所设计系统的适用性以鼓励节能。