Bridging the gap between social animal and unsocial machine: A Survey of social signal processing

Vinciarelli, A. , Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., D'Errico, F. and Schroeder, M. (2012) Bridging the gap between social animal and unsocial machine: A Survey of social signal processing. IEEE Transactions on Affective Computing, 3(1), pp. 69-87. (doi:10.1109/T-AFFC.2011.27)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1109/T-AFFC.2011.27

Abstract

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A., Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., D'Errico, F., and Schroeder, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:IEEE Transactions on Affective Computing
ISSN:1949-3045
Published Online:01 January 2012

University Staff: Request a correction | Enlighten Editors: Update this record