University of Birmingham > Talks@bham > Computer Science Departmental Series > Social Signal Processing: Understanding Social Interactions Through Nonverbal Behavior Analysis

Social Signal Processing: Understanding Social Interactions Through Nonverbal Behavior Analysis

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  • UserAlessandro Vinciarelli, University of Glasgow
  • ClockThursday 07 November 2013, 16:00-17:00
  • HouseUG05, Learning Centre.

If you have a question about this talk, please contact Christine Zarges.

Host: Mirco Musolesi

Social Signal Processing is the domain aimed at modelling, analysis and synthesis of nonverbal behaviour in social interactions. The core idea of the field is that nonverbal cues, the wide spectrum of nonverbal behaviours accompanying human-human and human-machine interactions (facial expressions, vocalisations, gestures, postures, etc.), are the physical, machine detectable evidence of social and psychological phenomena non otherwise accessible to observation. Analysing conversations in terms of nonverbal behavioural cues, whether this means turn-organization, prosody or voice quality, allows one to automatically detect and understand phenomena like conflict, roles, personality, quality of rapport, etc. In other words, analysing speech in terms of social signals allows one to build socially intelligent machines that sense the social landscape in the same way as people do. This talk provides an overview of the main principles of Social Signal Processing and some examples of their application.

This talk is part of the Computer Science Departmental Series series.

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