MyBehavior: Persuasion by Adapting to User Behavior and User Preference

Completed · Not applicable

Conditions studied: Weight Loss

In brief

MyBehavior is a mobile application with a suggestion engine that learns a user's physical activity and dietary behavior, and provides finely-tuned personalized suggestions. To our knowledge, MyBehavior is the first smartphone app to provide personalized health suggestions automatically, going beyond commonly used one-size-fits-all prescriptive approaches, or tailored interventions from health-care professionals. MyBehavior uses an online multi-armed bandit model to automatically generate context-sensitive and personalized activity/food suggestions by learning the user's actual behavior. The app 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 (e.g. weight loss).

Key facts

Study ID

NCT02359981

Run by

Cornell University

People needed

17

Starts

2013-05-01

Expected to finish

2013-06-01

Last updated by the study team

2015-02-11

Who can join

Age: 18 and older, up to 60. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• In relatively healthy condition. Also, users must be interested in health and fitness.

You may not qualify if…

• Individuals with physical disability and dietary problems are excluded.

Where it is running

• Cornell University — Ithaca, New York, United States

Full record on ClinicalTrials.gov

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