Peter Pirolli, Ph.D., will present an overview of the Fittle+ mHealth systems that have been used to study several evidence-based behavior change interventions. Dr. Pirolli will present models developed in the ACT-R computational cognitive architecture that address individual-level daily achievement of behavioral goals for exercise and eating, and provide a deeper account of the dynamics of self-efficacy, motivation, implementation intentions, and habit formation.
Peter Pirolli, Ph.D.
Senior Research Scientist
Institute for Human and Machine Cognition
Dr. Pirolli is a Senior Research Scientist with the Institute for Human and Machine Cognition. His research focuses on human-computer interaction, information visualization, information foraging theory, sensemaking, and social information foraging.