Presentation 2013/5/9
Evaluation of Follows between Collaborative Workers Using Co-occurrence Rate of Utterance Pattern and EEG Changes
KATSUNORI OYAMA, HIROYUKI WATANABE, MASATO KANEKO, ATSUSHI TAKEUCHI,
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Abstract(in English) Techniques of communication support for cooperative work has a big challenge to measure temporal rate of communication between collaborative workers in which message contexts and utterance patterns can be interpreted in many meanings. This study's approach focuses on situation recognition based on time series analysis using collection of EEG (Electroencephalogram) changes with utterance patterns. We argue in this paper how to visualize temporal distribution of follows between collaborative workers, and propose a formal model to visualize distribution of follows (i.e., responses to one of collaborative workers while affective states in the collaborative workers change discomfort to comfort). Causality between temporal distribution of follows and work progress are examined in a case study of cooperative learning. Our evaluation results suggest that follows between collaborative workers tend to disappear at the point a problem is difficult for them whereas more follows show up at the point the problem is answered.
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Paper # Vol.2013-GN-88 No.7,Vol.2013-SPT-5 No.7
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Conference Date 2013/5/9(1days)
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Language JPN
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Title (in English) Evaluation of Follows between Collaborative Workers Using Co-occurrence Rate of Utterance Pattern and EEG Changes
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1st Author's Name KATSUNORI OYAMA
1st Author's Affiliation Department of Computer Science, Nihon University()
2nd Author's Name HIROYUKI WATANABE
2nd Author's Affiliation / Department of Computer Science, Nihon University
3rd Author's Name MASATO KANEKO
3rd Author's Affiliation Department of Computer Science, Nihon University
4th Author's Name ATSUSHI TAKEUCHI
4th Author's Affiliation
Date 2013/5/9
Paper # Vol.2013-GN-88 No.7,Vol.2013-SPT-5 No.7
Volume (vol) vol.113
Number (no) 43
Page pp.pp.-
#Pages 7
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