Model to personalize mobiles applications according to the gamification user types for health behavioral change

This study validated the preference matrix, highlighting four mechanisms, self-monitoring, progression, challenge, and quest, as broadly appealing across user profiles for mHealth design. Three novel profile-mechanism associations were identified, refining the model and underscoring the need for replication with a more diverse sample.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251393402
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model to personalize mobiles applications according to the gamification user types for health behavioral change

Frédéric Ehrler, Laëtitia Gosetto, Gilles Falquet
Digital Health
Mobile Health and mHealth Applications
article

Model to personalize mobiles applications according to the gamification user types for health behavioral change

Frédéric Ehrler, Laëtitia Gosetto, Gilles Falquet
article en

Abstract

This study validated the preference matrix, highlighting four mechanisms, self-monitoring, progression, challenge, and quest, as broadly appealing across user profiles for mHealth design. Three novel profile-mechanism associations were identified, refining the model and underscoring the need for replication with a more diverse sample.

Digital HealthVol. 11
University of Geneva (CH), Geneva College (US)
Openalex Percentile: Top 51%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.