Social signal processing has the ambitious goal
of bridging the social intelligence gap between computers and humans. Nowadays, computers are not only the new interaction partners of humans, but also a privileged interaction medium for social exchange between humans. Consequently, enhancing machine abilities to interpret and reproduce social signals is a crucial requirement for improving computer-mediated communication and interaction. Furthermore, automated analysis of such signals
creates a host of new applications and improvements to existing applications. The study of social signals benefits a wide range of domains, including human-computer interaction, interaction design, entertainment technology, ambient intelligence, healthcare, and psychology. This paper briefly introduces the field and surveys its latest developments.
@InProceedings{SalahICSMC2011,
author = "Salah, A. A. and Pantic, M. and Vinciarelli, A.",
title = "Recent Developments in Social Signal Processing",
booktitle = "IEEE International Conference on Systems, Man, and Cybernetics",
year = "2011",
url = "https://ivi.fnwi.uva.nl/isis/publications/2011/SalahICSMC2011"
}