Optimizing User Engagement in Fitness Apps : A Comparative Analysis of Features and User Models

Health apps are increasingly popular tools that help people monitor and improve their lifestyles. To optimize personalized health interventions, it’s essential to understand what types of data these apps collect and how they can be used effectively. This research investigates the specific types of user data collected by fitness apps, identifying which ones most effectively contribute to lifestyle improvements. By comparing these findings with existing user models in the literature, this study aims to propose recommendations for enhancing personalized health interventions in fitness apps. The research will contribute to the field of user modeling by providing insights into data usage in fitness apps and suggesting ways to better leverage this data for improved user outcomes.