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

Digital Health Reviews (1724) Web-based and Mobile Health Interventions (4018) mHealth for Wellness, Behavior Change and Prevention (3315) Innovations and Technology for Physical Activity Education (926) Artificial Intelligence (2129)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47774, first published .
Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Authors of this article:

Annette Brons1, 2, 3 Author Orcid Image ;   Shihan Wang2 Author Orcid Image ;   Bart Visser3 Author Orcid Image ;   Ben Kröse1, 4 Author Orcid Image ;   Sander Bakkes2 Author Orcid Image ;   Remco Veltkamp2 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Smiley A, Finkelstein J. Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Diagnostics 2024;15(1):52 View
  2. Garofano M, Del Sorbo R, Calabrese M, Giordano M, Di Palo M, Bartolomeo M, Ragusa C, Ungaro G, Fimiani G, Di Spirito F, Amato M, Ciccarelli M, Pascarelli C, Scanniello G, Bramanti P, Bramanti A. Remote Rehabilitation and Virtual Reality Interventions Using Motion Sensors for Chronic Low Back Pain: A Systematic Review of Biomechanical, Pain, Quality of Life, and Adherence Outcomes. Technologies 2025;13(5):186 View
  3. Vandelanotte C, Maher C, Hodgetts D, Imam T, Rashid M, To Q, Trost S. Impact of Iterative Development and Beta-Testing on the Usability and Acceptability of a Novel Just-in-Time Adaptive Digital Physical Activity Intervention. Journal of Physical Activity and Health 2025;22(10):1315 View
  4. Shin Y. Toward Human-Centered Artificial Intelligence for Users’ Digital Well-Being: Systematic Review, Synthesis, and Future Directions. JMIR Human Factors 2025;12:e69533 View
  5. Shah N, Castellanos A, Chen Y, Piette J, Bucher A, Murphy S. A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases. Arthritis Care & Research 2025 View

Conference Proceedings

  1. Smiley A, Finkelstein J. 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService). Modeling Perceived Exertion with Deep Neural Networks and Wearable Sensors View