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 [BibTeX] [Marc21]
Social Signal Processing: State-of-the-Art and Future Perspectives of an Emerging Domain
Type of publication: Conference paper
Citation: Vinciarelli_ACM-MM_2008
Booktitle: Proceedings of the ACM International Conference on Multimedia
Year: 2008
Month: 10
Abstract: The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next-generation computing needs to include the essence of social intelligence – the ability to ecognize human social signals and social behaviours like politeness, and disagreement – in order to become more effective and more efficient. Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed arms, laughter, and similar, design and development of automated systems for Social Signal Processing (SSP) are rather difficult. This paper surveys the past efforts in solving these problems by a computer, it summarizes the relevant findings in social psychology, and it proposes a set of recommendations for enabling the development of the next generation of socially-aware computing.
Projects Idiap
Authors Vinciarelli, Alessandro
Pantic, Maja
Bourlard, Hervé
Pentland, Alex
Added by: [UNK]
Total mark: 0
  • Vinciarelli_ACM-MM_2008.pdf (MD5: 4081557b637a8637bb46a3f42088d3fc)