Anxiety disorders are among the most common psychopathologies in children. This project investigates the effects of a biofeedback virtual reality game (DEEP) on breathing and anxiety-related symptoms in anxious children and develops new algorithms to detect changes in the player’s behavior during the game. The aim is to enable game interventions that are personalized to each individual child.
This project strives to create a suite of analog games to be implemented in classrooms. The goal of these games is to improve children's emotional competencies in three domains which past research highlights as being crucial for healthy development: emotion vocabulary, cognitive reappraisal skills, and children's theory of emotion.