Click here to read the full paper! Objective: To develop a computational system that uses dietary recall data to prioritize behavioral goals to facilitate efficient, personalized collaborative …
Optimal App Use by Dietitians Limited by Payment Structures, App Usability, and Lack of Dietitian Familiarity With Available Apps: A Qualitative Thematic Analysis
Read the full publication here! Objectives: To expand on previous survey-based research that provided a basic understanding of dietitian perspectives on app use by exploring factors that are …
From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations
Read the full paper on ACM Digital Library! |Abstract| Self-tracking can help personalize self-management interventions for chronic conditions like type 2 diabetes (T2D), but reflecting on …
Psychosocial phenotyping as a personalization strategy for chronic disease self-management intervention
Click here to read the full publication! |Abstract| Background: As the U.S. population grows older and more diverse, self-management needs are increasingly complicated. In order to deliver …
Extended Reality Technologies in Nutrition Education and Behavior: Comprehensive Scoping Review and Future Directions
Read the full publication here! |Abstract| The use of Extended Reality (XR) (i.e. Virtual and Augmented Reality) for nutrition education and behavior change has not been comprehensively …