Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System
Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System
复制标题
探索行为改变支持系统中的精细性和间接性的影响
DOI：
10.1109/access.2021.3079473
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Minker Wolfgang
中科院分区：
文献类型：
--
作者：
Zhang Zhihua;Miehle Juliana;Matsuda Yuki;Fujimoto Manato;Arakawa Yutaka;Yasumoto Keiichi;Minker Wolfgang
有许多技术可以促进更健康的生活方式。这些技术统称为“行为改变支持系统”。然而，大多数现有应用程序都使用定量数据表示。由于很难理解定量数据背后的含义，这种方法被认为会降低用户的积极性，并且无法促进行为改变。因此，需要提供定量数据的解释作为补充。然而，对同一数据的不同描述可能会导致不同的结果。在本文中，我们通过开发和评估 Walkeeper 来探索不同沟通方式对定量数据解释对行为变化的影响。Walkeeper 是一款基于网络的应用程序，它使用不同程度的详细性和间接性来解释用户的每日步数，目的是促进步行。通过定量分析和用户研究的结果，我们贡献了设计定量数据解释的新知识。
Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as “Behavior Change Support Systems”. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users' motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper - a web-based app that provides interpretations of the users' daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.