<div class="csl-bib-body">
<div class="csl-entry">Silva, L. M., Min, A., Stefanidi, E., Cibrian, F. L., Beltran, J. A., Zeiler, C., Schuck, S., Lakes, K. D., Hayes, G. R., & Epstein, D. A. (2026). FamilyBloom: Examining Ecologies of Collaboration in Family-Centered Health Tracking. In N. Oliver, D. A. Shamma, H. Candello, P. Cesar, P. Lopes, A. Bozzon, T. Kosch, V. Liao, X. Ma, V. Artizzu, F. Draxler, G. López, A. V. Reinschluessel, X. Tong, & P. O. Toups Dugas (Eds.), <i>CHI ’26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems</i> (pp. 1–24). Association for Computing Machinery. https://doi.org/10.1145/3772318.3791277</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/227941
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dc.description.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.
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
family informatics
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dc.subject
personal informatics
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dc.subject
behavior regulation
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dc.subject
co-regulation
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dc.subject
goal setting
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dc.subject
mood tracking
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dc.subject
children
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dc.subject
adhd
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dc.title
FamilyBloom: Examining Ecologies of Collaboration in Family-Centered Health Tracking
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
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dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
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dc.contributor.affiliation
University of Iowa, United States of America (the)
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dc.contributor.affiliation
University of California, Irvine, United States of America (the)
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dc.contributor.affiliation
Chapman University, United States of America (the)
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dc.contributor.affiliation
California State University Los Angeles, United States of America (the)
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dc.contributor.affiliation
University of California, Irvine, United States of America (the)
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dc.contributor.affiliation
University of California, Irvine, United States of America (the)
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dc.contributor.affiliation
University of California, Riverside, United States of America (the)
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dc.contributor.affiliation
University of California, Irvine, United States of America (the)
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dc.contributor.affiliation
University of California, Irvine, United States of America (the)
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dc.contributor.editoraffiliation
Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates (the)
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dc.contributor.editoraffiliation
IBM (United States), United States of America (the)
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dc.contributor.editoraffiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.editoraffiliation
Delft University of Technology, Netherlands (the)
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dc.contributor.editoraffiliation
Humboldt-Universität zu Berlin, Germany
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dc.contributor.editoraffiliation
University of Illinois Urbana-Champaign, United States of America (the)