There’s an endless list of apps that track your health, but MyBehavior is the first mobile app to include a suggestion engine that learns a user’s physical activity and dietary behavior in order to provide finely-tuned, personalized suggestions. Developed by researchers at Cornell’s Interaction Design Lab, MyBehavior continually adapts its suggestions by exploiting the most frequent healthy behaviors, while sometimes exploring non-frequent behaviors, in order to maximize the user’s chance of reaching a health goal. The researchers have been working on MyBehavior for more than two years and recently conducted a 14-week study with 16 people using the app on Android smartphones. The Interaction Design Lab is expected to launch the app sometime in September of this year.