Proposal to Improve Exercise Using the Fogg Behavior Model

This paper proposes an exercise improvement method utilizing the Fogg Behavior Model (FBM). FBM asserts that three elements, motivation, ability, and triggers, must be satisfied in order to persuade persons to do something. Existing works mainly value motivation. Many methods have been studied to increase user motivation utilizing behavioral economics, such as sending text messages to recipients. On the other hand, few studies have focused on ability and trigger. This method utilizes FBM to realize exercise improvement, taking all three factors into account. The proposed method examines the time-series data of the number of steps the target user takes, which represents the user's physical activity. It regards the user's ability high in the time period when the user's physical activity is high. At the timing, its triggers are given according to the user's Motivation. This enables us to promote exercises to users, having arranged an environment to facilitate users to make exercises. This paper explains a challenge that estimates a user's motivation for exercise from data acquired from a wearable device.