Finding highest motivation for physical activity

Creating a healthy behaviorby predicting the motivation wave

What is the motivation wave?

As everyone has experienced, our motivation to do a certain behavior increases and decrease over time.

Time

Mot

ivat

ion

What is the motivation wave?

As everyone has experienced, our motivation to do a certain behavior increases and decrease over time.

Time

Mot

ivat

ion

At highest motivation, you are most likely to do the behavior.

Finding the highest motivation

How do you find the user's highest motivation for becoming physically active, such as walking for 30 minutes?

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 knowslocationsleep duration and qualityphysical activitywhen the user is free

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 knowslocationsleep duration and qualityphysical activitywhen the user is free...the more information, the better!

Mobile app for finding highest motivation

Using input data, the app calculates probability of highest motivation for physical activity.

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".

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.

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

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.