Mobile phones and social signal processing for analysis and understanding of dyadic conversations

Vinciarelli, A. (2014) Mobile phones and social signal processing for analysis and understanding of dyadic conversations. In: Murray-Smith, R. (ed.) Mobile Social Signal Processing. Series: Lecture notes in computer science (8045). Springer: Heidelberg, pp. 1-8. ISBN 9783642543258 (doi:10.1007/978-3-642-54325-8_1)

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Publisher's URL: http://dx.doi.org/10.1007/978-3-642-54325-8_1

Abstract

Social Signal Processing is the domain aimed at bridging the social intelligence gap between humans and machines via modeling, analysis and synthesis of nonverbal behavior in social interactions. One of the main challenges of the domain is to sense unobtrusively the behavior of social interaction participants, one of the key conditions to preserve the spontaneity and naturalness of the interactions under exam. In this respect, mobile devices offer a major opportunity because they are equipped with a wide array of sensors that, while capturing the behavior of their users with an unprecedented depth, are still invisible. This is particularly important because mobile devices are part of the everyday life of a large number of individuals and, hence, they can be used to investigate and sense natural and spontaneous scenarios.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Vinciarelli, Professor Alessandro
Authors: Vinciarelli, A.
College/School:College of Science and Engineering > School of Computing Science
Publisher:Springer
ISBN:9783642543258
Copyright Holders:Copyright © 2014 The Author

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