FamilyBloom: Examining Ecologies of Collaboration in Family-Centered Health Tracking

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Authors: Lucas M. Silva, Aehong Min, Evropi Stefanidi, Franceli L. Cibrian, Jesus Armando Beltran, Cassie Zeiler, Sabrina E. B. Schuck, Kimberley D. Lakes, G. Constable Hayes, Daniel A. Epstein
Cited by: 1
References: 109

Abstract

Family health informatics tools can help support well-being with shared data tracking. Prior work typically focused on shared data review, but often in specific moments, like bedtime, or centered on caregiving of children or elderly members. To investigate how tracking can support mutual health collaboration between family members pervasively across daily contexts, we designed and deployed FamilyBloom, a glanceable smartwatch and home display system for mood and goal tracking. Twelve families with both neurotypical and ADHD members used FamilyBloom for three months on average. Our findings reveal how family-centered tracking created collaboration opportunities and tensions across multiple ecological systems: individual self-regulation, collaborations within family dynamics, involvement of care networks with varying trust levels, institutional school constraints and cultural stigma, and temporality of regular routines and crisis periods. We discuss an ecosystem-aware approach to family informatics, wherein design can attend to how families navigate multiple contexts while sustaining family-level collaboration.

Fields of Study & Subjects

Attachment and Relationship Dynamics Innovative Human-Technology Interaction Focus Groups and Qualitative Methods

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–24
Publication date
13 April 2026