Using audio and video features to classify the most dominant person in a group meeting
Proceedings of the 15th international conference on Multimedia
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Group Conversations
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A multimodal database for mimicry analysis
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Automatic modeling of dominance effects using granger causality
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
High-Speed Action Recognition and Localization in Compressed Domain Videos
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have generalized higher influence was not validated when using the DOME-AMI corpus as data source. However, from the correlational analysis some interesting patterns emerged: contradicting our initial hypothesis dominant individuals are not accounting for the majority of the causal flow in a social interaction. Moreover, they seem to have more intense causal effects as their causal density was significantly higher. Finally dominant individuals tend to respond to the causal effects more often with complementarity than with mimicry.