Social Signal Processing: State-of-the-Art and Future Perspectives of an Emerging Domain


Share/Save/Bookmark

Vinciarelli, Alessandro and Pantic, Maja and Bourlard, Hervé and Pentland, Alex (2008) Social Signal Processing: State-of-the-Art and Future Perspectives of an Emerging Domain. In: 16th ACM International Conference on Multimedia, MM 2008, 26-31 October 2008, Vancouver, Canada.

[img]PDF
Restricted to UT campus only
: Request a copy
552Kb
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 recognize 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.
Item Type:Conference or Workshop Item
Copyright:© 2008 ACM
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/62673
Official URL:http://dx.doi.org/10.1145/1459359.1459573
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 255091