Reflective Informatics Through Family Storytelling: Self-discovering Physical Activity Predictors

論文URL:http://dl.acm.org/citation.cfm?doid=3025453.3025651

論文アブストラクト:HCI research has increasingly examined how sensing technologies can help people capture and visualize data about their health-related behaviors. Yet, few systems help people reflect more fundamentally on the factors that influence behaviors such as physical activity (PA). To address this research gap, we take a novel approach, examining how such reflections can be stimulated through a medium that generations of families have used for reflection and teaching: storytelling. Through observations and interviews, we studied how 13 families interacted with a low-fidelity prototype, and their attitudes towards this tool. Our prototype used storytelling and interactive prompts to scaffold reflection on factors that impact children's PA. We contribute to HCI research by characterizing how families interacted with a story-driven reflection tool, and how such a tool can encourage critical processes for behavior change. Informed by the Transtheoretical Model, we present design implications for reflective informatics systems.

日本語のまとめ:

子供を対象とした生活習慣の振り返りを支援するための研究.親子間での読み聞かせによって内省を促進することを企図して,AR読み聞かせツールを開発した.実験の結果,子供が自身の生活習慣を評価する様子が観察された.

(103文字)

発表スライド: