Vortragende
Prof. Elisabeth André, Augsburg University Details
WIT – Women in Technology in cooperation with the Faculty of Informatics at Vienna University of Technology and IEEE Section Austria invites you to the talk. Abstract
Human conversational partners usually try to interpret the speaker's or listener's affective cues and respond to them accordingly. Recently, the modelling and simulation of such behaviours has been recognized as an essential factor for successful man-machine communication. There is empirical evidence that many problems in man-machine communication could be avoided if the machine was more sensitive towards the user's feelings. The availability of robust multi-channel recognition methods is an important prerequisite for the development of affect-aware interfaces. In my talk, I will report on challenges that arise when moving from the recognition of acted emotions to the recognition of spontaneous emotions which are of higher relevance to man-machine communication. I will present a framework for smart sensor integration that is especially suited for real-time multi-channel emotion recognition. Our approach to emotion recognition will be illustrated by affective interfaces that have been developed within the European Networks of Excellence Humaine (Human-Machine Interaction Network on Emotion Research) and IRIS (Integrating Research in Interactive Storytelling) and the European projects e- Circus (Education Through Characters With Emotional-Intelligence And Roleplaying Capabilities That Understand Social Interaction), Callas (Conveying Affectiveness in Leading-Edge Living Adaptive Systems) and Metabo (Personal Health Systems for Monitoring and Point-of-Care Diagnostics - Personalised Monitoring).