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.
Additional Metadata
THEME Software (theme 1), Logistics (theme 3), Energy (theme 4)
Publisher IEEE
Conference IEEE International Conference on Systems, Man and Cybernetics
Citation
Salah, A.A, Pantic, M, & Vinciarelli, A. (2011). Recent Developments in Social Signal Processing. IEEE.