Presentation 2014-05-30
Laughter in Human-Agent Interaction
Shiho TATSUMI, Yoshimasa OHMOTO, Toyoaki NISHIDA,
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Abstract(in English) In this research, our goal is to make a system to detect the time at which one almost laughed but he or she didn't show their laughter on his or her face. We define this kind of laughter as hidden laughter. To accomplish this goal, we first tried making two kinds of decision trees to detect one's amusement, the input data of which were physiological indexes. We used 10-fold cross validation to evaluate the trees, and their accuracy was more than 75%. In the experiments to collect the data, the participants watched funny videos. It might be because the data used had been collected under the controlled environment that the accuracy was this high. Nevertheless, our result suggests the possibility that we could make a system to detect such amusement as cannot be seen on one's face.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) laughter / hidden laughter / physiological index
Paper # HCS2014-26,HIP2014-26
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Conference Information
Committee HCS
Conference Date 2014/5/22(1days)
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Paper Information
Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Laughter in Human-Agent Interaction
Sub Title (in English)
Keyword(1) laughter
Keyword(2) hidden laughter
Keyword(3) physiological index
1st Author's Name Shiho TATSUMI
1st Author's Affiliation Undergraduate School of Informatics and Mathematical Science, Faculty of Engineering, Kyoto University()
2nd Author's Name Yoshimasa OHMOTO
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Toyoaki NISHIDA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2014-05-30
Paper # HCS2014-26,HIP2014-26
Volume (vol) vol.114
Number (no) 67
Page pp.pp.-
#Pages 6
Date of Issue