Effects of Technology Use on Self-Reported Physical Activity: A Behavioral Change Perspective

Area of Science:

• Behavioral Science
• Health Technology
• Digital Health

Background:

• Previous studies suggest technology affordances (interactivity, agency, modality) may boost physical activity (PA).
• Existing research is limited by cross-sectional designs, failing to capture behavioral changes over time.
• The Motivational Technology Model (MTM) provides a framework for understanding technology's influence on behavior.

Purpose of the Study:

• To investigate if technology features promoting interactivity, agency, and modality choice are associated with increased PA over time.
• To address the gap in longitudinal research on technology's impact on PA behavior change.
• To apply the MTM to analyze user engagement with a social weightlifting application.

Main Methods:

• Longitudinal study design analyzing user data from the BodySpace smartphone application.
• Scraped 784 user profiles at baseline and after 70 days to track behavioral changes.
• Examined the relationship between specific technology affordances (interactivity, agency, modality) and changes in PA.

Main Results:

• Analysis of user profiles revealed associations between specific technology affordances and increases in PA.
• The study identified key features within the BodySpace app that correlate with positive behavioral shifts in physical activity.
• Findings provide empirical evidence supporting the MTM's principles in a real-world digital health context.

Conclusions:

• Technology features offering interactivity, agency, and modality choice can drive sustained increases in physical activity.
• Longitudinal data analysis is crucial for understanding technology's dynamic impact on health behaviors.
• The findings have implications for designing more effective digital health interventions to promote PA.