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

Paper Title

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

Publication Info

• Topic area: Sedentary behavior intervention using ambient data physicalization for older adults.
• Keywords: sedentary behavior, older adults, data physicalization, ambient technology, health intervention, Research through Design, user agency, atmospheric abstraction, tangible interaction, well-being.

Background and Problem

• Problem / challenge: Existing sedentary behavior interventions, such as wearables and screen-based notifications, often feel clinical, intrusive, or cognitively demanding, leading to disengagement among older adults. There is a gap in designing non-disruptive, meaningful representations of sedentary data for this demographic.
• Significance: Sedentary behavior poses significant health risks for older adults, and addressing it through accessible, long-term interventions can improve their quality of life and autonomy.
• Motivation and related work: Prior research has explored ambient technologies and data physicalizations for reflective engagement but has not adequately addressed older adults' preferences for simplicity, comfort, and integration into domestic environments. This study builds on these insights to explore how sedentary data can be embedded into everyday life through physicalization.

Solution

• Proposed approach: The CushLumi system—a hybrid data physicalization approach combining a sensing cushion and an ambient lamp to represent sedentary behavior in a non-intrusive, aesthetic manner.
• Novelty:
  1. Extends data physicalization research by applying it to older adults in domestic settings.
  2. Proposes a shift from informing users to enabling them to live with and through their data.
  3. Introduces design principles for integrating health feedback into familiar, non-stigmatizing objects.
• Procedure and key techniques:
  1. Conducted a three-phase Research through Design (RtD) methodology:
     • Phase 1: Ethnographic observations and interviews to understand older adults' routines and preferences.
     • Phase 2: Poster-based discussions to refine design concepts and test reactions to different data representations.
     • Phase 3: Deployment of the CushLumi system in participants' homes for one day.
  2. Developed the CushLumi system:
     • Sensing cushion with embedded flexible sensors to detect sitting behavior.
     • Ambient lamp that changes light color and intensity based on sitting duration, with celebratory animations upon standing.
     • Cloud-based processing for data synchronization and light control.
  3. Used qualitative methods, including thematic analysis, to evaluate user experiences and perceptions.

Results

• Concrete findings:
  • Participants preferred ambient, non-numeric feedback over explicit, clinical representations of sedentary data.
  • The CushLumi system mitigated data anxiety and fostered positive emotional connections, with participants describing it as "gentle," "non-clinical," and "like a pet on the table."
  • Observed 12 standing events during deployment, with 8 linked to suggested activities depicted on the lamp.
• Advantage over baselines:
  • Avoided the stress and disengagement associated with traditional digital reminders.
  • Enabled reflective, user-directed behavior change rather than compliance-driven responses.
• Experiments / evaluation:
  • Phase 3 deployment involved 5 older adults hosting the CushLumi system in their homes for one day.
  • Semi-structured interviews captured participants' interpretations, emotional responses, and system usability.
• Limitations and future work:
  • Short deployment duration (one day) limits understanding of long-term effects.
  • Small sample size (5 participants in Phase 3) restricts generalizability.
  • Future work includes longitudinal studies, exploration of alternative sensing methods, and adaptation to different cultural contexts.

Summary

This study introduces the CushLumi system, a hybrid data physicalization approach designed to address sedentary behavior in older adults by embedding feedback into familiar, aesthetic objects. Through a three-phase Research through Design methodology, the system was shown to reduce data anxiety, foster positive emotional connections, and encourage reflective behavior change. The findings highlight the potential of ambient, non-intrusive health technologies to support older adults' autonomy and well-being. Future research will explore long-term deployment and cultural adaptability to further validate and refine this approach.