| Automatic prediction of individual performance from "thin slices" of social behavior |
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International Multimedia Conference
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Proceedings of the seventeen ACM international conference on Multimedia
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Beijing, China
SESSION: Short papers session 2: content analysis and HCM
table of contents
Pages: 733-736
Year of Publication: 2009
ISBN:978-1-60558-608-3
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Downloads (6 Weeks): 16, Downloads (12 Months): 43, Citation Count: 0
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ABSTRACT
This paper targets the automatic detection of individual performances in group tasks by means of short sequences, "thin slices", of nonverbal behavior. We designed our task as a classification one. We also investigated the relevance of social context in our task and the effectiveness of our feature selection.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Nadia Mana , Bruno Lepri , Paul Chippendale , Alessandro Cappelletti , Fabio Pianesi , Piergiorgio Svaizer , Massimo Zancanaro, Multimodal corpus of multi-party meetings for automatic social behavior analysis and personality traits detection, Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information, p.9-14, November 15-15, 2007, Nagoya, Japan
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Fabio Pianesi , Nadia Mana , Alessandro Cappelletti , Bruno Lepri , Massimo Zancanaro, Multimodal recognition of personality traits in social interactions, Proceedings of the 10th international conference on Multimodal interfaces, October 20-22, 2008, Chania, Crete, Greece
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