Parenting Journal · Volume 2 · Issue 5 · Licensed source edition
AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement
Originally published 2026-07-24 · JMIR Pediatrics and Parenting
JMIR Publications Inc. · DOI 10.2196/98889 ↗
AI / system type
Mixed rule-based/AI chatbots and narrow or generative AI interventions; system-specific differences matter
Family implicationsDesign, ethics, stakeholder or technical evidence with child/family implications; household benefits are not assumed.
The AI connection
The included child/family interventions used conversational agents and various AI personalization, recommendation, computer-vision, or generative functions.
Why this reading matters
Useful for comparing the actual family work and evidence behind different AI health proposals before investing in a program.
Editorial reading guide · Collaboration
What exactly would our family be asked to do in an AI-supported activity program, and which outcome has been tested?
Maps the very different roles a family can have in an AI intervention: receiving reminders, recording activity, setting goals, or participating in a shared program. Of eight studies directly measuring activity/fitness, four reported improvement, two null results, and two mixed or indirect findings. That variation prevents a blanket claim that family-involved AI improves activity.
Study context
14 studies of AI/chatbot-supported physical activity or obesity-related behavior interventions, ten with an explicit family component
Age / stage: Child/adolescent eligibility 0–18 years; included studies ranged from infancy to adolescence
Read with three questions
- How did studies define family involvement, and how active was the parent’s role?
- Which systems were rule-based, adaptive, or generative, and were their technical functions described adequately?
- How do engagement, activity, weight-related outcomes, and sustained family behavior differ across the evidence?
Keep the limits in view
The review did not conduct a formal quality appraisal, was not preregistered, and limited inclusion by language/time frame. Small pilots, varied ages, bundled interventions, short follow-up, and incomplete technical reporting limit comparisons. Family participation was not isolated experimentally as the active ingredient, and the review does not establish a pooled benefit.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Qianxia Jiang; Xiayu Summer Chen; Dev Patel; Keith Brazendale; Sualba Alejandro; Matthew Balcarras (2026). AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement JMIR Pediatrics and Parenting. https://doi.org/10.2196/98889
Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.