Published a study comparing AI-generated JITAIs with interventions written by medical professionals, showing higher user acceptance for the AI-based suggestions (https://doi.org/10.1145/3706598.3713307).
Research Experience
During his PhD, he used intensive longitudinal methods (e.g., Ecological Momentary Assessment, Micro-randomized Trials) to investigate situational and motivational determinants of physical activity. Currently, as a Visiting Fellow at the University of Jyväskylä (Finland), he is researching the integration of Behavior Change Techniques into AI-generated interventions.
Education
PhD in Health Psychology, supervised by Prof. Jens Blechert (University of Salzburg)
Background
His research interests include health psychology, behavioral medicine, and the application of generative AI in health interventions. He focuses on developing time- and context-dynamic models of health behavior to support more precise just-in-time adaptive interventions (JITAIs).
Miscellany
Involved in several digital health projects, such as SmartPA.