The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation

Area of Science:

• Behavioral Science
• Human-Computer Interaction
• Digital Health

Background:

• Persuasive technology, including mobile apps and smartwatches, aims to influence user behavior.
• Personalized persuasive technology can enhance user behavior modification, but lacks guidance based on psychological characteristics.

Purpose of the Study:

• Examine how psychological characteristics influence the perceived persuasiveness of mobile health (mHealth) screens.
• Explore how user psychology drives the persuasiveness of digital health technologies to create more engaging solutions.

Main Methods:

• An experiment surveyed 262 participants using 25 mHealth app screens focused on physical activity.
• Evaluated psychological characteristics (self-efficacy, health consciousness, motivation, Big Five traits) against the persuasive system design framework.
• Utilized exploratory factor analysis and linear regression to analyze user needs based on psychological profiles.

Main Results:

• User psychological characteristics (self-efficacy, health consciousness, motivation, extraversion) significantly impact mHealth screen persuasiveness.
• Combinations of persuasive principles and psychological traits yield greater perceived persuasiveness.
• Demographic variables and psychological characteristics explained 40.3% of the variance in perceived persuasiveness, with gender, age, and education being significant predictors.

Conclusions:

• Psychological characteristics, including self-efficacy, health consciousness, motivation, extraversion, gender, age, and education, significantly influence digital health technology persuasiveness.
• Varying combinations of psychological and demographic factors affect the persuasiveness of persuasive technology categories.
• Findings provide guidance for developing more effective and personalized digital health interventions.