As the development process of medical industry informatization has entered the stage of smart healthcare, health management applications (apps) have played an important role in improving people’s health and preventing diseases, especially among female college students.
This study combines the UTAUT model and the Fogg behavioral model (FBM) as a theoretical framework to investigate the factors affecting female college students’ willingness to use health management apps. A survey was conducted with 624 female college students regarding their usage of AI health management mobile applications.
The analysis reveals that social influence (
This study develops a comprehensive theoretical framework to explore the psychological and social factors influencing female college students’ utilization of health management applications. The findings underscore the significant roles of social influence, performance expectancy, effort expectancy, and facilitating conditions in shaping user attitudes and intentions. These insights offer valuable guidance for formulating effective interventions to enhance the adoption of these applications.