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Automatic prediction of individual performance from "thin slices" of social behavior
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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents
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
Authors
Bruno Lepri  FBK-Irst, Trento, Italy
Nadia Mana  FBK-Irst, Trento, Italy
Alessandro Cappelletti  FBK-Irst, Trento, Italy
Fabio Pianesi  FBK-Irst, Trento, Italy
Sponsor
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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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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Collaborative Colleagues:
Bruno Lepri: colleagues
Nadia Mana: colleagues
Alessandro Cappelletti: colleagues
Fabio Pianesi: colleagues