Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults.

ABSTRACT:

Background

A dramatic rise in health-tracking apps for mobile phones has occurred recently. Rich user interfaces make manual logging of users' behaviors easier and more pleasant, and sensors make tracking effortless. To date, however, feedback technologies have been limited to providing overall statistics, attractive visualization of tracked data, or simple tailoring based on age, gender, and overall calorie or activity information. There are a lack of systems that can perform automated translation of behavioral data into specific actionable suggestions that promote healthier lifestyle without any human involvement.

Objective

MyBehavior, a mobile phone app, was designed to process tracked physical activity and eating behavior data in order to provide personalized, actionable

SUBMITTER: Rabbi M 

PROVIDER: S-EPMC4812832 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature