Automatic nonverbal analysis of social interaction in small groups: A review
Image and Vision Computing
Automatic prediction of individual performance from "thin slices" of social behavior
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Discovering group nonverbal conversational patterns with topics
Proceedings of the 2009 international conference on Multimodal interfaces
Identifying emergent leadership in small groups using nonverbal communicative cues
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Inferring competitive role patterns in reality TV show through nonverbal analysis
Multimedia Tools and Applications
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This paper addresses the problem of social interaction analysis in competitive meetings, using nonverbal cues. For our study, we made use of “The Apprentice” reality TV show, which features a competition for a real, highly paid corporate job. Our analysis is centered around two tasks regarding a person's role in a meeting: predicting the person with the highest status and predicting the fired candidates. The current study was carried out using nonverbal audio cues. Results obtained from the analysis of a full season of the show, representing around 90 minutes of audio data, are very promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words.