Dominance detection in meetings using easily obtainable features

Authors:
Rutger Rienks;Dirk Heylen
Affiliations:
Human Media Interaction (HMI), University of Twente, Enschede, The Netherlands;Human Media Interaction (HMI), University of Twente, Enschede, The Netherlands
Venue:
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Year:
2005

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Abstract

We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic features. We discuss the corpus we have used, the way we had people judge dominance and the features that were used.