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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3857) Web-based and Mobile Health Interventions (5962) mHealth for Wellness, Behavior Change and Prevention (4337) Behavior Change (1105) Evaluation and Research Methodology for mHealth (409) Chatbots and Conversational Agents (1241) Artificial Intelligence (5034) Applications of AI (1098)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79677, first published .
AI robot promoting healthy lifestyle: exercise, sleep, no smoking, balanced diet, mental wellness.

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review

Authors of this article:

Lingyi Fu1 Author Orcid Image ;   Ryan Burns1 Author Orcid Image ;   Yuhuan Xie1 Author Orcid Image ;   Jincheng Shen2 Author Orcid Image ;   Shandian Zhe3 Author Orcid Image ;   Paul Estabrooks1 Author Orcid Image ;   Yang Bai1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Motevalli M, Boaventura B, Stanford F. ChatGPT for obesity management: a review of evidence, potential challenges, and clinical implications. The Lancet Digital Health 2026;8(5):100980 View
  2. Sharp G, Marini S, Tam E, Hu H. Body Image and Eating Disorder Education Chatbot, JEM, in Australia and Canada: First 6-Month Real-World Survey Evaluation. JMIR Human Factors 2026;13:e90783 View
  3. La Bella S, Rebollo-Giménez A, Alongi A, Capitoli G, Breda L, La Torre F, Venerito V, Ruperto N. The role of artificial intelligence in clinical trials in adult and pediatric rheumatology. Current Opinion in Immunology 2026;102:102818 View
  4. Pavão J, Bastardo R, Silva A, Rocha N. Usability and User Experience Assessment of Health Care Conversational Agents Using Validated Subjective Instruments: Systematic Review and Comparative Analysis. JMIR Human Factors 2026;13:e102911 View
  5. Jayeoba M, Sohn R, Weiss A, Stanic A, Mazzetta R, Pham A, Scanlan L, Garcia M, Sidhu A, Ho E, Garcia S, Hitsman B, Phillips S, Spring B, Jacobs M. Designing for Autonomous Motivation: Qualitative Interview Study on Pre-Enrollment Preferences of Survivors of Cancer for Digital Health Behavior Change Programs. Journal of Medical Internet Research 2026;28:e87514 View
  6. Potel J, Kumashiro M. Artificial Intelligence as a Personal Coach: A Narrative Review of Benefits and Risks in Educational and Health Contexts. Behavioral Sciences 2026;16(8):1431 View
  7. Alam M, Shetu S, Elin E. Characteristics of generation Z and mhealth adoption behavior in a developing country. International Review on Public and Nonprofit Marketing 2026 View
  8. Lenze N, Goldstein C. Human Factors. Sleep Medicine Clinics 2026 View
  9. Lu Y, Tang R, Zeng B, Sun J, Liang S, Fu D. Perceived support from AI health tools and exercise adherence among university students: a three-wave study of exercise self-efficacy and autonomous motivation. Frontiers in Psychology 2026;17 View
  10. Liu C, Ho C, Wu T. Toward tailored implementation of an artificial intelligence–based healthy dietary chatbot: differences in technology acceptance pathways by health consciousness and user characteristics. BMC Medical Informatics and Decision Making 2026;26(1) View
  11. Rajan M. AI conversational agents as population health infrastructure: promise, peril, and the case for public-interest design. Frontiers in Public Health 2026;14 View