The enrichment of computer supported collaborative learning (CSCL) systems with emotion awareness features (detect emotion patterns and respond affectively) opens a window towards an authentic social interaction and learning experience. In the current paper, we first review prominent emotion theories and models with respect to learning, detection techniques and affective feedback strategies, and then we present a system’s design and implementation that provides collaborators with a usable, web tool for self-reporting of emotions. In response to the user’s emotions, the system activates an animated, virtual assistant that employs expressive faces and synthesised speech to provide affective and task-based feedback. The specific tool was customised and adapted to the virtualised collaborative session (VCS) system for the needs of an experiment that we run in the Open University of Catalonia. The respective results and findings are presented and discussed.
Read full abstract