Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview
The overview of all implemented persuasive strategies and their corresponding ML methods is insightful for this interdisciplinary field. Moreover, it led to a categorization overview that provides insights into the design and development of personalized persuasive strategies to promote PA. In future papers, the categorization overview might be expanded with additional layers to specify ML methods or additional dimensions of personalization and persuasive strategies.
Authors
- Bart Visser (ORCID: https://orcid.org/0000-0002-8559-9715)
- Remco C. Veltkamp (ORCID: https://orcid.org/0000-0003-1934-7170)
- Ben Kröse (ORCID: https://orcid.org/0000-0003-1237-0618)
- Sander Bakkes (ORCID: https://orcid.org/0000-0002-7267-4501)
- Annette Brons (ORCID: https://orcid.org/0000-0001-9328-5612)
- Shihan Wang (ORCID: https://orcid.org/0000-0001-5971-7522)
Institutions
- Utrecht University (NL)
- Amsterdam University of Applied Sciences (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-11-15
- DOI
- https://doi.org/10.2196/47774
- Citations
- 7
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.95