DMCA
Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
| Venue: | IEEE TRANSACTIONS ON AFFECTIVE COMPUTING |
| Citations: | 35 - 7 self |
BibTeX
@MISC{Vinciarelli_bridgingthe,
author = {Alessandro Vinciarelli and Maja Pantic and Dirk Heylen and Catherine Pelachaud and Isabella Poggi and Marc Schröder and et al.},
title = {Bridging the Gap Between Social Animal and Unsocial Machine: A Survey of Social Signal Processing},
year = {}
}
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Abstract
Social Signal Processing is the research domain aimed at bridging the social intelligence gap between humans and machines. This article is the first survey of the domain that jointly considers its three major aspects, namely modeling, analysis and synthesis of social behaviour. 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 behaviour 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.
Keyphrases
social signal processing unsocial machine gap social animal social behaviour automatic understanding extensive survey analysis explores approach social intelligence gap synthesis study technique investigates law social interaction research domain different sensor social exchange major aspect first survey available resource fundamental challenge various form
