Events

Optimizing Personalized Feedback Data Visualizations for Digital Interventions

Tobacco use remains the leading cause of preventable disease and death, in part because few individuals access evidence-based treatments such as self-regulatory strategies for managing stress and urges to smoke. Mobile health (mHealth) personalized feedback data visualizations may increase engagement by helping individuals understand cessation progress and identify which strategies work best and when. Yet, little is known about individuals’ needs and preferences for this type of feedback during a quit attempt. 

In this DIGIT-MI session, Dr. Libby Benson will present findings from interactive co-design sessions (n=24). Findings will inform a suite of personalized feedback visualizations and future intervention optimization research examining whether and when prompting individuals to view feedback increases intervention engagement and reduces smoking. This work has broader implications for personalized feedback design across a variety of health behavior domains.
 

Register to attend

This internal event is open to U-M faculty, staff, trainees, and learners only. Register for our 2026-27 DIGIT-MI season to receive session details and the Zoom link.

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DIGIT-MI is an affinity group where University of Michigan faculty and staff meet to connect, learn, and share resources that encourage the increased use of digital and mobile technologies and mental wellness measures in health research. Virtual sessions are held on the second Monday of the month from October through June.

If you have questions about this event, please contact our team at [email protected]