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

Laetitia Gosetto¹, Marta Pittavino², Gilles Falquet¹

¹Centre Universitaire d'Informatique, Geneva School of Economics and Management, University of Geneva, Carouge, Switzerland.

JMIR Research Protocols

|January 5, 2023

Summary

Personalizing mobile health apps enhances user engagement. This study validates a framework matching app features to user profiles for sustained healthy behaviors.

Keywords:

behavior change theory functionalities gamification mHealth mobile app mobile health personalization

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Area of Science:

Digital Health
Behavioral Science
Human-Computer Interaction

Background:

Mobile health (mHealth) apps show promise for behavior change but struggle with long-term adherence.
Personalization of interventions is key to improving sustained engagement with mHealth tools.
A conceptual framework was developed to guide the selection of mHealth functionalities based on user profiles.

Purpose of the Study:

To investigate user preferences for mobile health app functionalities.
To determine if user preferences align with a conceptual framework linking functionalities to user profiles.
To validate the proposed conceptual model for personalized mHealth interventions.

Main Methods:

A cross-sectional study utilizing a web-based questionnaire.
User profiles were assessed using the Big Five Inventory-10, Hexad Scale, and Theory of Planned Behavior dimensions.
Participants selected and rated the relevance of mHealth functionalities, followed by logistic regression analyses.

Main Results:

Data collected from July to December 2021.
Analysis commenced in January 2022, with results anticipated by end of 2022.
Statistical models will identify the relationship between user profiles and preferred functionalities.

Conclusions:

The study aims to validate a conceptual model for mHealth app personalization.
Findings will define preferred functionalities aligned with specific user profiles.
This research contributes to designing more effective and engaging mHealth interventions.