Collaborative Health-Tracking Technologies for Children and Parents: A Review of Current Studies and Directions for Future Research

要旨

Collaborative health-tracking technologies for children and parents have gained significant attention in recent years in HCI. This review examines the current state of these technologies by analyzing 29 studies screened from 15,973 search results across three databases. Our findings revealed three primary goals in these technologies: promoting family health, improving children’s health through child-parent co-tracking, and fostering children’s independence in self-tracking. For each goal, we examined child-parent roles, data types collected, and features that facilitate or hinder collaboration. Our findings highlight key directions for future research, including designing adaptable technologies to reflect evolving child-parent roles, exploring different technologies and tracking topics that impact child-parent dynamics, involving children in the system design stage to enhance collaborative features, and studying diverse populations with varied family characteristics. These insights aim to guide the creation of more effective and inclusive collaborative health-tracking technologies for children and parents.

著者
Yoon Jeong Cha
University of Michigan, Ann Arbor , Michigan, United States
Jiongyu Chen
University of Michigan, Ann Arbor, Michigan, United States
Yasemin Gunal
University College London, London, United Kingdom
Qiying Zhu
Shanghai Jiao Tong University, Shanghai, China
Mark W. Newman
U. of Michigan, Ann Arbor, Michigan, United States
Sun Young Park
University of Michigan, Ann Arbor, Michigan, United States
DOI

10.1145/3706598.3713596

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713596

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Parental Engagement

G303
6 件の発表
2025-04-29 18:00:00
2025-04-29 19:30:00
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