Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51426, first published .
Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study

Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study

Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study

Authors of this article:

Amanda Willms1 Author Orcid Image ;   Sam Liu1 Author Orcid Image

Journals

  1. Alanezi F. Examining the role of ChatGPT in promoting health behaviors and lifestyle changes among cancer patients. Nutrition and Health 2025;31(2):739 View
  2. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  3. Babirye D, Anderson R. Training and Support Practices and Insights in the Sustainability of mHealth Implementations in Sub-Saharan Africa. ACM Journal on Computing and Sustainable Societies 2025;3(1):1 View
  4. Li C, Zhao Y, Bai Y, Zhao B, Tola Y, Chan C, Zhang M, Fu X. Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review. Journal of Medical Internet Research 2025;27:e70535 View
  5. Lai X, Chen J, Lai Y, Huang S, Cai Y, Sun Z, Wang X, Pan K, Gao Q, Huang C. Using Large Language Models to Enhance Exercise Recommendations and Physical Activity in Clinical and Healthy Populations: Scoping Review. JMIR Medical Informatics 2025;13:e59309 View
  6. Cotie P, Willms A, Liu S. Implementation of Behavior Change Theories and Techniques for Physical Activity Just-in-Time Adaptive Interventions: A Scoping Review. International Journal of Environmental Research and Public Health 2025;22(7):1133 View
  7. Attoh-Mensah E, Boujut A, Desmons M, Perrochon A. Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis. Frontiers in Digital Health 2025;7 View
  8. Ma C, Wang X, He X, Li Y, Yang M, Qian Q, Ma Y, Knott C. Digital adaptive intervention in the medical field: a bibliometric analysis. Translational Behavioral Medicine 2025;15(1) View
  9. Lai X, Lai Y, Chen J, Huang S, Gao Q, Huang C. Evaluation Strategies for Large Language Model-Based Models in Exercise and Health Coaching: Scoping Review. Journal of Medical Internet Research 2025;27:e79217 View
  10. Ziab H, Mazbouh R, Siblini F, Nashwan A. Transforming Pediatric Physiotherapy: The Role of ChatGPT in Therapy, Limitations, and Ethical Considerations. Cureus 2025 View
  11. Doležel M, Lískovec R. Reference and Solution Architecture for GenAI- and GIS-Enhanced Physical Activity Interventions: Towards Implementing the AI4Motion Platform. Journal of Medical Systems 2025;49(1) View
  12. Willms A, Sui A, Jantzen R, Chester S, Vanderloo L, Rhodes R, Liu S. Co‐designing a just‐in‐time adaptive mHealth intervention to improve parental support for child physical activity using a no‐code app design platform: Development study. Applied Psychology: Health and Well-Being 2025;17(6) View

Books/Policy Documents

  1. James L, Genga L, Montagne B, Hagenaars M, Van Gorp P. Entertainment Computing – ICEC 2024. View
  2. Meywirth S, Janson A, Söllner M. Local Solutions for Global Challenges. View
  3. Siripipatthanakul S, Chaiprakarn S, Rungsiyanont S, Phuangsuwan P. Sustainable Development for Hospitals and Clinics. View

Conference Proceedings

  1. Haag D, Kumar D, Gruber S, Hofer D, Sareban M, Treff G, Niebauer J, Bull C, Schmidt A, Smeddinck J. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. The Last JITAI? Exploring Large Language Models for Issuing Just-in-Time Adaptive Interventions: Fostering Physical Activity in a Prospective Cardiac Rehabilitation Setting View