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Conversation partner mutual adaptation as demonstrated by Fourier series analysis

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Abstract

Persons participating in interview conversations tend to adapt their voice levels, utterance frequency, and pauses with their interaction partners. If individual A participates in dyadic interviews with individuals B, C, D, E, and F, Fourier series analysis of time variant representations of A's utterances tend to be more like those of his dyadic partner than his own utterances in the other conversations. This research points to an objective means where by conversation partners may be identified mechanically without reference to more traditional human understandings of conversation partner identifications.

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Gregory, S.W., Hoyt, B.R. Conversation partner mutual adaptation as demonstrated by Fourier series analysis. J Psycholinguist Res 11, 35–46 (1982). https://doi.org/10.1007/BF01067500

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