Is there a way you can predict or detect rises or drops in motivation? My hypothesis is that Motivation can be estimated by looking at measurable variables in our environment.

1. HOW CAN TECHNOLOGY
MEASURE
Our Motivation
To Stay Healthy?
By Elie Noune
Stanford University

2. Motivation Waves
Our Motivation experiences peaks and troughs,
just like the Economy
Stanford Psychologist BJ Fogg calls this pattern a
Motivation Wave

3. Healthy Behaviors
We can use high periods of motivation waves to simplify
and set up healthy behaviors like:
Exercising 3 days per week,
Sleeping 8 hours per day,
or Eating 1 fruit everyday.

4. Riding the Motivation Wave
Imagine your smart phone knew when you were
experiencing Motivation ups and downs.
Having Mobile Technology track our motivation waves
could drastically improve our health habits!

5. How to Track Motivation?
To Detect Motivation Ups and Downs,
we need a way to measure Motivation itself.
However, Motivation is an abstract variable that can’t be
physically measured.
But it also depends on other measurable variables.

6. My guess is...
We can get a good motivation estimate by measuring and
analyzing 10+ physical variables that
affect and reflect our motivation

7. Estimating our Motivation
These ‘shadow variables’ fall into 4 categories
Sleep
Nutrition
Movement
& Use of Technology

8. Sleep Metrics
Sleep Quality
A good night sleep can bring your motivation up.
And Vice Versa.
Measured with a Wristband and/or a mobile app.

9. Sleep Metrics
Sleep Quality
A good night sleep can bring your motivation up.
And Vice Versa.
Measured with a Wristband and/or a mobile app.
Bed Time
How early or late you go to bed compared to usual?
We’ll look at the time you set your alarm.

10. Sleep Metrics
Sleep Quality
A good night sleep can bring your motivation up.
And Vice Versa.
Measured with a Wristband and/or a mobile app.
Bed Time
How early or late you go to bed compared to usual?
We’ll look at the time you set your alarm.
Snoozing Duration
How long did you snooze today?
Longer snoozing may mean lower motivation

11. Nutrition Metrics
Daily Calorie Intake
Eating more than usual might mean lower motivation.
Best Measured with a mobile app.

12. Nutrition Metrics
Daily Calorie Intake
Eating more than usual might mean lower motivation.
Best Measured with a mobile app.
Daily Calories Burned
If you burned more than usual,
chances are you’ll be more motivated.
Best measured it with a wristband.

13. Nutrition Metrics
Daily Calorie Intake
Eating more than usual might mean lower motivation.
Best Measured with a mobile app.
Daily Calories Burned
If you burned more than usual,
chances are you’ll be more motivated.
Best measured it with a wristband.
Weight Tracking
How would you feel if you lost 5 lbs in a week?
Super motivated!

14. Movement
Gym Regularity
Your phone can Track how often you went to the gym using
your GeoLocation. If you stop going to the gym,
your motivation may have fallen down.

15. Movement
Gym Regularity
Your phone can Track how often you went to the gym using
your GeoLocation. If you stop going to the gym,
your motivation may have fallen down.
Time spent at Home vs outdoors
Similarly, your phone could track how much time you spend at
Home vs Outdoors.
Maybe more time outdoors means higher motivation?

16. Using Technology
Logging your Activity
If you’re logging your food or workout more than usual,
it probably means you’re feeling motivated.

17. Using Technology
Logging your Activity
If you’re logging your food or workout more than usual,
it probably means you’re feeling motivated.
Social Media - Sharing Achievements
When you share your workout results on Facebook,
you’re definitely motivated!

18. Using Technology
Logging your Activity
If you’re logging your food or workout more than usual,
it probably means you’re feeling motivated.
Social Media - Sharing Achievements
When you share your workout results on Facebook,
you’re definitely motivated!
Scheduling commitments
When you book time to go to the gym on your calendar,
you may be more motivated.

19. Magic Formula?
We may not have one yet, but it’s likely some combination of
these metrics
Bed Time
Daily Calorie Intake
Sharing Achievements
Daily Calories Burned
Home vs Outdoors Activity Logging
Sleep Quality
Snoozing Duration Scheduling commitments
Exercise Regularity Weight Tracking

20. Contact
Elie Noune
Stanford University
@elienoune
elienoune@gmail.com