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Issue No.01 - Jan.-March (2012 vol.3)
pp: 69-87
Alessandro Vinciarelli , Univ. of Glasgow, Glasgow, UK
M. Pantic , Dept. of Comput., Imperial Coll. London, London, UK
D. Heylen , Human Media Interaction, Univ. of Twente, Enschede, Netherlands
C. Pelachaud , Telecom ParisTech, LTC1, Inst. Telecom, Paris, France
I. Poggi , Univ. Roma Tre, Rome, Italy
F. D'Errico , Univ. Roma Tre, Rome, Italy
M. Schroeder , DFKI GmbH, Saarbrucken, Germany
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 synthesis of social behavior. Modeling investigates laws and principles underlying social interaction, analysis explores approaches for automatic understanding of social exchanges recorded with different sensors, and synthesis studies techniques for the generation of social behavior via various forms of embodiment. For each of the above aspects, the paper includes an extensive survey of the literature, points to the most important publicly available resources, and outlines the most fundamental challenges ahead.
human computer interaction, behavioural sciences, social behavior generation, social animal, unsocial machine, social signal processing, social intelligence gap, social interaction, social exchanges, synthesis studies techniques, Humans, Signal processing, Face, Animals, Electronic mail, Context, social interactions understanding., Social signal processing, nonverbal behavior analysis and synthesis
Alessandro Vinciarelli, M. Pantic, D. Heylen, C. Pelachaud, I. Poggi, F. D'Errico, M. Schroeder, "Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing", IEEE Transactions on Affective Computing, vol.3, no. 1, pp. 69-87, Jan.-March 2012, doi:10.1109/T-AFFC.2011.27
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