A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study.

Yunlong Wang Laura Maria König Harald Reiterer

Published in: JMIR formative research (2021)

Using a smartphone app to collect data on users' mobility patterns and provide real-time feedback using visualizations may be a promising method to induce changes in sedentary behavior and may be more effective than action planning alone. Replications with larger samples are needed to confirm these findings.

Keyphrases

electronic health record
big data
study protocol
randomized controlled trial
machine learning
data analysis
deep learning
artificial intelligence