Guest editorial: towards machines able to deal with laughter

Mancini, M., Niewiadomski, R., Hashimoto, S., Foster, M. E. , Scherer, S. and Volpe, G. (2017) Guest editorial: towards machines able to deal with laughter. IEEE Transactions on Affective Computing, 8(4), pp. 492-494. (doi:10.1109/taffc.2017.2766938)

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Abstract

The papers in this special section focus on the concept of laughter computing. Laughter is considered a significant feature of human-human communication. Laughter is characterized by a complex behavior that includes major modules: auditory, facial expressions, body movements, and postural attitudes, and physiological signals. The goal of this special section is to gather recent achievements in laughter computing in order to trigger new research directions in this area.

Item Type:Articles (Editorial)
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Foster, Dr Mary Ellen
Authors: Mancini, M., Niewiadomski, R., Hashimoto, S., Foster, M. E., Scherer, S., and Volpe, G.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:IEEE Transactions on Affective Computing
Publisher:IEEE
ISSN:1949-3045
Published Online:23 November 2017

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