Living with Data: Exploring Physicalization Approaches to Sedentary Behavior Intervention for Older Adults in Everyday Life

要旨

Sedentary behavior is a critical health risk for older adults. Although digital interventions are widely available, they primarily rely on screen-based notifications that can feel clinical or cognitively demanding, and are thus often ignored over time. This paper presents a three-phase Research through Design methodology to explore data physicalization approaches that ambiently represent sedentary data patterns using decor artifacts in older adults’ homes. These artifacts transformed abstract data into aesthetic, evolving forms that became part of the domestic landscape. Our research revealed how these physicalizations fostered self-reflection, family conversations, and encouraged active lifestyles. We demonstrate how qualities like aesthetic ambiguity and slow revelation can empower older adults, fostering a reflective relationship with their well-being. Ultimately, we argue that creating data physicalizations for older adults necessitates a shift from merely informing users to enabling them to live with and through their data.

著者
Siying Hu
City University of Hong Kong, Hong Kong, China
Zhenhao Zhang
Southern University of Science and Technology, Shenzhen, Guandong, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Navigating Biases in Accessibility and Aging

P1 - Room 117
7 件の発表
2026-04-15 20:15:00
2026-04-15 21:45:00