Interactive environments for music and multimedia
Multimedia Systems - Special issue on audio and multimedia
An Architecture for Emotional Agents
IEEE MultiMedia
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Modeling and evaluating empathy in embodied companion agents
International Journal of Human-Computer Studies
Using the influence model to recognize functional roles in meetings
Proceedings of the 9th international conference on Multimodal interfaces
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
Detecting Affect from Non-stylised Body Motions
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Toward a Real-Time Automated Measure of Empathy and Dominance
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Gesture-Based affective computing on motion capture data
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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In this paper we present a survey of our research on analysis of expressive gesture and how it is evolving towards the analysis of expressive social interaction in groups of users. Social interaction and its expressive implications (e.g., emotional contagion, empathy) is an extremely relevant component for analysis of expressive gesture, since it provides significant information on the context expressive gestures are performed in. However, most of the current systems analyze expressive gestures according to basic emotion categories or simple dimensional approaches. Moreover, almost all of them are intended for a single user, whereas social interaction is often neglected. After briefly recalling our pioneering studies on collaborative robot-human interaction, this paper presents two steps in the direction of novel computational models and techniques for measuring social interaction: (i) the interactive installation Mappe per Affetti Erranti for active listening to sound and music content, and (ii) the techniques we developed for explicitly measuring synchronization within a group of users. We conclude with the research challenges we will face in the near future.