Voice Cues, Keyboard Entry and Mouse Click for Detection of Affective and Cognitive States: A Case for Use in Technology-Based Pedagogy

Abstract

While significant work is being done in order to develop empathic agents which can identify emotions of the user through eye gaze and facial expressions, a neglected area, especially in the pedagogical context, is the use of voice for detection of alertness, fatigue and emotions. Some of the issues are lack of constant monitoring and visual feedback. However, such a system has advantages - the ability to work where visual monitoring is expensive, in darkness or where mobile devices cannot provide adequate visual feedback. We propose a model for a system capable of identifying emotions as well as alertness and fatigue based entirely on voice interaction, keyboard and mouse clicks, we also propose to develop an engine which can intelligently improve its prediction of emotions and cognitive states based on earlier interaction, and suggest appropriate measures to improve emotions, reduce distractions and mitigate fatigue.