The document describes a proposed mobile application called Mood4Food that aims to promote mindful eating among college students. The app would prompt users with mindful eating questions every 10 minutes during meals via text messages. An initial trial was conducted with test and control groups, and results suggested the test group had a more emotive and experiential view of food based on word cloud analysis of their responses. Further development of the app is proposed, including automating text prompts, developing a mobile app interface, conducting longer trials, and integrating the app with an existing mindful eating program.

1. 1. Title
a. Mood4Food
2. Stressor + POV
a. Stressor: Mindless food consumption induces self-directed anxiety and guilt among
college students
b. POV:
3. SBTM
a. Every 10 minutes during a meal, pause and physically ask yourself various mindful eating
prompts
4. Prototype 1 (visual)
a. Avatar post it notes
5. Prototype 2 (visual)
a. Text screenshots
b. Survey screenshots
6. A user’s story
a. Edric Kyauk (take story from other homework)
7. Trial design
a. copy from notes
b. control group/test-group switch: “switching replications design” Pablo talked about
i. control group turns into test group: for the same person check if it’s effective or
not.
ii. test group turns into control group: check the ability of the app to build effective
intuitive eating habits (once the prompts are taken away, ideally the test group
will continue to eat intuitively after a period of “training” via the app).
8. Results:
a. QUALITATIVE RESULT:
b. via coding the responses (method Pablo talked about)
c. word cloud is different between test and control groups
d. control group: more descriptive of actual food (eg. carbs, asparagus, rice, chicken) and
factual
e. test group: more emotive and experiential (eg. enjoyed, gross, warm, happy, yummy)
9. QUANTITATIVE RESULTS
a. Basic information: Mean/SD of each group
b. ** take root mean square of the difference of question 1 and question 2 for each of the
data points.
c. slightly larger RMS result for the control group (compared to the test group)
i. not a significant difference to drive a robust conclusion, but possibly enough for
us to be on to something here
ii. want to try with more data points and through a longer survey time period
d.
10. Conclusive NOI
a. Even though the data of ratings did not show significant differences, we have noticed that
there is a difference in ways participants think during eating - seen through word cloud
b. As we progressed throughout 4 days, users get more interactive with the interface(as in,
they texted me more-_-). This implies users are discovering more and more insights
about their eating habits and becoming more mindful.
11. Next steps

2. a. Twilio automated text message tree rather than manual texting (which stressed US out!)
b. Turn from text message program → Mobile application
i. change survey from button selection to sliders(?) → requires less effort, better
fine-tuned quantiative responses
c. Longer test/survey, especially valuable in testing whether the app is building long-term
habits (test this via switching control group and test group after a “training period” where
test group receives the prompts. After training period is over, stop sending prompts but
continue collecting post-meal survey data, check to see if intuitive eating habit is built.
Can also test different lengths of the training period to see what length of time is the
sweet spot for long-term habit building.
d. Instead of text messages, try other channels to prompt eaters with mindful eating
prompts
e. Inste -==pad of survey, other easy p
f. Cooperate with Vaden. Run beta trials. In the future, want to integrate app with Vaden’s
mindful eating program
g.