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

Non-randomized Protocols and Methods (ehealth) (723) Mobile Health (mhealth) (3661) mHealth for Wellness, Behavior Change and Prevention (3432) Behavior Change (902)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38603, first published .
Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study

Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study

Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study

Authors of this article:

Laetitia Gosetto1 Author Orcid Image ;   Marta Pittavino2 Author Orcid Image ;   Gilles Falquet1 Author Orcid Image ;   Frederic Ehrler3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Gosetto L, Falquet G, Ehrler F. Model to personalize mobiles applications according to the gamification user types for health behavioral change. DIGITAL HEALTH 2025;11 View
  2. Gosetto L, Falquet G, Ehrler F. Personalizing Mobile Applications for Health Behavioral Change according to personality: cross-sectional validation of a Preference matrix (Preprint). JMIR Human Factors 2025 View
  3. . Determinants of continued mHealth usage in Vietnam: An integrated S-O-R and UGT approach. International Journal of ADVANCED AND APPLIED SCIENCES 2026;13(3):115 View

Conference Proceedings

  1. Vaz N, Silva K, Velasco G, Mata L, Fernandes D, Carvalho S. Anais do XXV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2025). Towards a Personalized mHealth Model Using Intelligent Conversational Agents View