Evaluating Glanceable Multi-Device Family Health Tracking with Smartwatches and Home Displays

While ubiquitous computing research has explored diverse devices for personal health tracking, we know less about multi-device designs for family informatics, where health management is inherently collaborative. To understand how families adopt and perceive ubiquitous access to shared health data across contexts, we evaluated smartwatch-only, home display-only, and combined designs for tracking moods and goals, domains central to family health behavior regulation. 44 people across 12 families alternated between these designs over nine weeks. Log analysis revealed that mood tracking and goal reporting were significantly more frequent with the home display present compared to smartwatch-only use, despite an overall decline in mood tracking over time. Tracking peaked in afternoons, dropped on weekends, and occurred 2.6× more at home, with children tracking more consistently than adults across all designs. From interview analysis, we learned how family data glanceability on smartwatches supported opportunistic tracking and awareness while apart, whereas displays reminded families to self-track and collaborate during home routines including members that avoided wearables (e.g., non-participants). Multi-device redundancy accommodated diversity in routines, mobility patterns, and device preferences among members in the same family. We discuss opportunities for multi-device family informatics that accommodates different preferences through inclusive, glanceable, and adaptable ubiquitous data sharing.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2026-09-30
DOI
https://doi.org/10.1145/3832000
Citations
1
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
6.84
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article

Evaluating Glanceable Multi-Device Family Health Tracking with Smartwatches and Home Displays

Aehong Min, Kimberley D. Lakes, Lucas M. Silva, Jesus Armando Beltran et al.
1 citations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Innovative Human-Technology Interaction
6.84
article

Evaluating Glanceable Multi-Device Family Health Tracking with Smartwatches and Home Displays

Aehong Min, Kimberley D. Lakes, Lucas M. Silva, Jesus Armando Beltran, Gillian R. Hayes, Sabrina E. B. Schuck, Daniel A. Epstein, Evropi Stefanidi, Cassie Zeiler, Franceli L. Cibrian
article en
1 citations

Abstract

While ubiquitous computing research has explored diverse devices for personal health tracking, we know less about multi-device designs for family informatics, where health management is inherently collaborative. To understand how families adopt and perceive ubiquitous access to shared health data across contexts, we evaluated smartwatch-only, home display-only, and combined designs for tracking moods and goals, domains central to family health behavior regulation. 44 people across 12 families alternated between these designs over nine weeks. Log analysis revealed that mood tracking and goal reporting were significantly more frequent with the home display present compared to smartwatch-only use, despite an overall decline in mood tracking over time. Tracking peaked in afternoons, dropped on weekends, and occurred 2.6× more at home, with children tracking more consistently than adults across all designs. From interview analysis, we learned how family data glanceability on smartwatches supported opportunistic tracking and awareness while apart, whereas displays reminded families to self-track and collaborate during home routines including members that avoided wearables (e.g., non-participants). Multi-device redundancy accommodated diversity in routines, mobility patterns, and device preferences among members in the same family. We discuss opportunities for multi-device family informatics that accommodates different preferences through inclusive, glanceable, and adaptable ubiquitous data sharing.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 10(3)
University of California, Riverside (US), University of Iowa (US), TU Wien (AT), Chapman University (US), University of California, Irvine (US), California State University Los Angeles (US)
Openalex Percentile: Top 3%
Innovative Human-Technology Interaction
6.84
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