1. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary1 It is the year 2030. You are starting to test a theory that allows for predictions to support real time intervention on increasing exercise. Articulate your theory and design an experiment using rapid evaluation to test your theory iteratively.

2. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary2 Andrew Raij Predrag Klasnja Ilkka Korhonen Cristina Botella Monique Hendriks Marientina Gotsis Wendy Nilsen Scribe: Elina Mattila

3. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary3 Increase Activity Behavioral activation and self-determination dynamic systems model Planning and opportunistic intervention Individualized plan Not educational Fun and social component Planning and self-control key ingredients

4. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary4 Increase Activity Real time intervention to increase activity Population based model that is tailored to the individual based on personal data, using dynamical systems model. Inactive people, 25-55, sedentary researchers Tailored to the individual based on baseline data

5. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary5 Increase Activity Baseline data – Profiling App Health record, including genetics GPS trace Daily calendar Affective measures – EMA for mood, randomly sampled Social context – NFC with people and collect exercise Cameras Attitudes about activity, self-efficacy Physiological measures- contextualizing change Physical activity sensor Perceived and observed barriers

6. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary6 Increase Activity Aspects of behavioral activation and self- determination theory Planning for exercise Planning and self-control key ingredients Opportunistic, real-time interventions Social component Fun factor Finely tailored feedback – e.g., added life years Utilize technology to cue for exercise –TripIt with gyms, elevator keyed, designer sneakers and motivation profile, bed images

7. New Computationally-Enabled Theoretical Models to Support Health BC&M Breakout group summary7 Increase Activity Theory – Create a virtual me –People do not exercise because it is a perceived burden –They do not have a plan –It is not included in their life –Current cues encourage sedentary behavior Personalized solutions can be effective –To increase exercise, we need to have sedentary develop a personalized plan that provides personal feedback (multiple levels) that also includes social, fun and opportunistic plans