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

Digital Health Reviews (1276) Web-based and Mobile Health Interventions (3287) mHealth for Wellness, Behavior Change and Prevention (2865) Innovations and Technology for Physical Activity Education (740) Machine Learning (48) Artificial Intelligence (1359) Artificial Intelligence (84)

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 Tweetations Metrics

Annette Brons   1, 2, 3 , MSc ;   Shihan Wang   2 , PhD ;   Bart Visser   3 , PhD ;   Ben Kröse   1, 4 , PhD ;   Sander Bakkes   2 , PhD ;   Remco Veltkamp   2 , PhD

1 Digital Life Center, Amsterdam University of Applied Sciences, Amsterdam, Netherlands

2 Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands

3 Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, Netherlands

4 Department of Computer Science, University of Amsterdam, Amsterdam, Netherlands

Corresponding Author:

  • Remco Veltkamp, PhD
  • Department of Information and Computing Sciences
  • Utrecht University
  • Princetonplein 5
  • Utrecht, 3584 CC
  • Netherlands
  • Phone: 31 621156976
  • Email: R.C.Veltkamp@uu.nl