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Displaying 1-3 out of 3 total
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
Found in: IEEE Transactions on Affective Computing
By Alessandro Vinciarelli,M. Pantic,D. Heylen,C. Pelachaud,I. Poggi,F. D'Errico,M. Schroeder
Issue Date:January 2012
pp. 69-87
Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This paper is the first survey of the domain that jointly considers its three major aspects, namely, modeling, analysis, and synthesi...
Building Autonomous Sensitive Artificial Listeners
Found in: IEEE Transactions on Affective Computing
By M. Schroder,E. Bevacqua,R. Cowie,F. Eyben,H. Gunes,D. Heylen,M. ter Maat,G. McKeown,S. Pammi,M. Pantic,C. Pelachaud,B. Schuller,E. de Sevin,M. Valstar,M. Wollmer
Issue Date:April 2012
pp. 165-183
This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and nonverbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving an...
Developing a Generic Agent-Based Intelligent Tutoring System
Found in: Advanced Learning Technologies, IEEE International Conference on
By M. Hospers, E. Kroezen, A. Nijholt, R. op den Akker, D. Heylen
Issue Date:July 2003
pp. 443
We developed a generic teaching environment that uses agents to support learning. An agent platform developed in our research group is used. The system is generic in the sense that the cognition core (domain model, student model and instruction model) is s...