Social signal processing

Pantic, M. and Vinciarelli, A. (2015) Social signal processing. In: Calvo, R., D'Mello, S., Gratch, J. and Kappas, A. (eds.) The Oxford Handbook of Affective Computing. Series: Oxford library of psychology. Oxford University Press: Oxford ; New York, pp. 84-93. ISBN 9780199942237 (doi:10.1093/oxfordhb/9780199942237.013.027)

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This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. Social signal processing (SSP) is a new cross-disciplinary research domain that aims at understanding and modeling social interactions (research in human sciences) and providing computers with similar abilities (research in computer science). SSP is still in its formative phase, and the journey toward artificial social intelligence and socially aware computing still has a long way to go. This chapter surveys the current state of the art and summarizes issues that the researchers in this field face.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Pantic, M., and Vinciarelli, A.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
College of Science and Engineering > School of Computing Science
Publisher:Oxford University Press

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