Presentation 2014-08-23
Analysis of respiration relating to turn-taking in multi-party meetings : toward prediction of next speaker and next speaking timing
Ryo ISHII, Kazuhiro OTSUKA, Shiro KUMANO, Junji YAMATO,
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Abstract(in English) To build a model for predicting the next speaker and the start time of the next utterance in multi-party meetings, we performed a fundamental study of how respiration could be effective for the prediction model. First, we collected data of participants' respiration using a band respiratory sensor and utterances. The results of the analysis reveal that the speaker's inhalation is effective for predicting whether turn-keeping or turn-changing happen about 350 ms before the start time of the next utterance on average and that listener's inhalation is effective for predicting the next speaker in turn-changing about 900 ms before the start time of the next utterance on average.
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Keyword(in English) Respiration / multi-party meetings / next-speaker prediction / speaking-timing prediction / turn-taking
Paper # HCS2014-49
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Committee HCS
Conference Date 2014/8/15(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of respiration relating to turn-taking in multi-party meetings : toward prediction of next speaker and next speaking timing
Sub Title (in English)
Keyword(1) Respiration
Keyword(2) multi-party meetings
Keyword(3) next-speaker prediction
Keyword(4) speaking-timing prediction
Keyword(5) turn-taking
1st Author's Name Ryo ISHII
1st Author's Affiliation NTT Communication Science Laboratories, NTT Corporation()
2nd Author's Name Kazuhiro OTSUKA
2nd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
3rd Author's Name Shiro KUMANO
3rd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
4th Author's Name Junji YAMATO
4th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
Date 2014-08-23
Paper # HCS2014-49
Volume (vol) vol.114
Number (no) 189
Page pp.pp.-
#Pages 6
Date of Issue