Detection of Nonverbal Synchronization through Phase Difference in Human Communication

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Publicado en:PLoS One vol. 10, no. 7 (Jul 2015), p. e0133881
Autor principal: Kwon, Jinhwan
Otros Autores: Ogawa, Ken-ichiro, Ono, Eisuke, Miyake, Yoshihiro
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Public Library of Science
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024 7 |a 10.1371/journal.pone.0133881  |2 doi 
035 |a 1698611374 
045 2 |b d20150701  |b d20150731 
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100 1 |a Kwon, Jinhwan 
245 1 |a Detection of Nonverbal Synchronization through Phase Difference in Human Communication 
260 |b Public Library of Science  |c Jul 2015 
513 |a Journal Article 
520 3 |a Nonverbal communication is an important factor in human communication, and body movement synchronization in particular is an important part of nonverbal communication. Some researchers have analyzed body movement synchronization by focusing on changes in the amplitude of body movements. However, the definition of “body movement synchronization” is still unclear. From a theoretical viewpoint, phase difference is the most important factor in synchronization analysis. Therefore, there is a need to measure the synchronization of body movements using phase difference. The purpose of this study was to provide a quantitative definition of the phase difference distribution for detecting body movement synchronization in human communication. The phase difference distribution was characterized using four statistical measurements: density, mean phase difference, standard deviation (SD) and kurtosis. To confirm the effectiveness of our definition, we applied it to human communication in which the roles of speaker and listener were defined. Specifically, we examined the difference in the phase difference distribution between two different communication situations: face-to-face communication with visual interaction and remote communication with unidirectional visual perception. Participant pairs performed a task supposing lecture in the face-to-face communication condition and in the remote communication condition via television. Throughout the lecture task, we extracted a set of phase differences from the time-series data of the acceleration norm of head nodding motions between two participants. Statistical analyses of the phase difference distribution revealed the characteristics of head nodding synchronization. Although the mean phase differences in synchronized head nods did not differ significantly between the conditions, there were significant differences in the densities, the SDs and the kurtoses of the phase difference distributions of synchronized head nods. These results show the difference in nonverbal synchronization between different communication types. Our study indicates that the phase difference distribution is useful in detecting nonverbal synchronization in various human communication situations. 
653 |a Social 
653 |a Statistics 
653 |a Head 
653 |a Visual perception 
653 |a Verbal communication 
653 |a Brain research 
653 |a Pattern recognition 
653 |a Synchronization 
653 |a Human communication 
653 |a Researchers 
653 |a Synchronism 
653 |a Statistical analysis 
653 |a Phase shift 
653 |a Nonverbal communication 
653 |a Kurtosis 
653 |a Motion perception 
653 |a Social interaction 
653 |a Studies 
653 |a Society 
653 |a Human motion 
653 |a Methods 
653 |a Systems science 
653 |a Personal relationships 
653 |a Human body 
653 |a Interpersonal communication 
653 |a Television 
653 |a Body movement 
653 |a Humans 
653 |a Distribution 
700 1 |a Ogawa, Ken-ichiro 
700 1 |a Ono, Eisuke 
700 1 |a Miyake, Yoshihiro 
773 0 |t PLoS One  |g vol. 10, no. 7 (Jul 2015), p. e0133881 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1698611374/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/1698611374/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch