Finding highest motivation for physical activity
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The document discusses the concept of a 'motivation wave,' which refers to the fluctuating levels of motivation individuals experience toward engaging in behaviors like physical activity. It proposes an integrated mobile app that leverages user data—including location, sleep, and activity patterns—to predict the user's peak motivation times and nudges them to walk for 30 minutes via notifications and suggested routes. The app aims to personalize user experience using passive data collection and machine learning to enhance health behavior engagement.
Finding highest motivation for physical activity
- 1. Creating a healthy behavior by predicting the motivation wave
- 2. What is the motivation wave? As everyone has experienced, our motivation to do a certain behavior increases and decrease over time. Motivation Time
- 3. What is the motivation wave? As everyone has experienced, our motivation to do a certain behavior increases and decrease over time. At highest motivation, you are most likely Motivation to do the behavior. Time
- 4. Finding the highest motivation How do you find the user's highest motivation for becoming physically active, such as walking for 30 minutes?
- 5. Finding the highest motivation How do you find the user's highest motivation for becoming physically active, such as walking for 30 minutes? One idea: integrated mobile app that knows location sleep duration and quality physical activity when the user is free
- 6. Finding the highest motivation How do you find the user's highest motivation for becoming physically active, such as walking for 30 minutes? One idea: integrated mobile app that knows location sleep duration and quality physical activity when the user is free ...the more information, the better!
- 7. Mobile app for finding highest motivation Using input data, the app calculates probability of highest motivation for physical activity.
- 8. Mobile app for finding highest motivation Using input data, the app calculates probability of highest motivation for physical activity. With high enough probability, the app pushes notifications. For walking 30 minutes, the app may suggest a good walking route and offer two buttons: "Yes, I'll take a walk" or "No, not now".
- 9. Mobile app for finding highest motivation Using input data, the app calculates probability of highest motivation for physical activity. With high enough probability, the app pushes notifications. For walking 30 minutes, the app may suggest a good walking route and offer two buttons: "Yes, I'll take a walk" or "No, not now". The app learns and tries to find patterns about the user's motivation wave based on user's passive and active input data.
- 10. Mobile app for finding highest motivation Main features: - Very little effort for the user Almost all the data is passively collected e.g. FitBit/smartphone accelerometer, Lark/sleep sensor, GPS, calendar - App constantly learns i.e. is personalized Results are gotten easily through the user pushing a button
- 11. Contact me Let me know what you think! Email me: cglu@stanford.edu I'm currently in my junior year at Stanford University majoring in Computer Science. I'm interested in health technology and how people create healthy behaviors for themselves.