Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System

Abstract

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 webbased 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.INDEX TERMS behavior change, communication styles, physical activity.

StoryChat: Designing a Narrative-Based Viewer Participation Tool for Live Streaming Chatrooms

“…User interfaces with persuasive designs such as CAPTCHAs [121] and the GLHF pledge [14] successfully activated prosocial interaction, and proactively preventing negative behaviors in online chats. The benefit of such implicit persuasive designs [29,39,89,104,106,109,120,147] is that they can be adopted subtly and unobtrusively to effectively modify user attitudes and behaviors without diminishing user engagement. Previous research leverages narratives to successfully promote prosocial behavior and address harassment in online communities [9,40], providing a fundamental basis for us to design narratives as an implicit persuasive design to proactively moderate online community.…”