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IM2.IP3 (Social Signal Processing) - lay summary

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Social Signal Processing

 

IM2.IP3
IP Head: Dr. Alessandro Vinciarelli (Idiap)
Deputy IP Head: Dr. Fabio Valente (Idiap)
Partners: EPFL, Idiap, ETHZ


English summary

The exploration of how we as human beings react to the world and interact with it and each other remains one of the greatest scientific challenges. Perceiving, learning, and adapting to the world around us are commonly labeled as intelligent behaviour. But what does it mean being intelligent? Is IQ a good measure of human intelligence and the best predictor of somebody’s success in life? There is now a growing research in cognitive sciences, which argues that our common view of intelligence is too narrow, ignoring a crucial range of abilities that matter immensely for how we do in life.  This range of abilities is called social intelligence and includes the ability to express and recognise social signals like agreement, politeness, and empathy, coupled with the ability to manage them in order to get along well with others while winning their cooperation. The skills of social intelligence have been argued to be indispensable and perhaps the most important for success in life.

Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis and synthesis of relevant behavioural cues like gaze exchange, blinks, smiles, head nods, crossed arms, laughter, etc., the research efforts in machine analysis and synthesis of human social signals like attention, haughtiness, empathy, politeness, flirting,
(dis)agreement, etc., are few, tentative, and fragmented.

The goal of this IP is to fill the above gap in meeting analysis by applying principles and approaches
proposed in Social Signal Processing, the new domain aimed at understanding of social signals through
automatic analysis of nonverbal communication.

Keywords

Signal Social Processing, analysis of Emotional Body Language





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