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| DOI | 10.1007/S10919-025-00482-3 | ||||
| Año | 2025 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
We studied how personality differences and conversation topics predict interpersonal speech coordination, leading/following dynamics, and nonverbal interactional dominance in dyadic conversations. In a laboratory, 100 undergraduate students (50 same-gender dyads) had a 15-min conversation following three topics (introduction/self-disclosure/argumentation). Their speech coordination and turn-taking (speech/silence) dynamics were assessed through nonlinear time-series analyses: Cross-Recurrence Quantification Analysis (CRQA), Diagonal Cross-Recurrence Profiles (DCRP), and Anisotropic-CRQA. From the time series, we extracted five variables to operationalize speech coordination (global and at lag-zero), leading-following dynamics, and asymmetries in the interacting partners' nonverbal interactional dominance. Interaction appraisals were also assessed. Associations between personality traits Extraversion/Agreeableness, speech coordination, and nonverbal interactional dominance were tested using mixed-effects models. Speech coordination and nonverbal interactional dominance differed across conversational topics and peaked during argumentative conversations. Extraversion was associated with increased speech coordination, and nonverbal interactional dominance, especially during the argumentative conversation. During a self-disclosure conversation, Extraversion concordance was associated with more symmetry in turn-taking dynamics. Speech coordination was generally associated with positive post-conversational appraisals such as wanting to meet in the future or liking the conversation partner, especially in extroverted individuals, whereas introverts seemed to value less swift dynamics. High Agreeableness predicted less speech coordination during argumentative conversations, and increased speech coordination (at lag-zero) predicted reduced perceived naturality in agreeable individuals. This may suggest a trade-off between maintaining swift speech dynamics and the natural flow of conversation for individuals high in Agreeableness.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Arellano-Veliz, Nicol A. | - |
Univ Groningen - Países Bajos
Rijksuniversiteit Groningen - Países Bajos |
| 2 | Castillo, Ramon D. | - |
Universidad de Talca - Chile
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| 3 | Jeronimus, Bertus F. | Hombre |
Univ Groningen - Países Bajos
Rijksuniversiteit Groningen - Países Bajos |
| 4 | Kunnen, E. Saskia | - |
Univ Groningen - Países Bajos
Rijksuniversiteit Groningen - Países Bajos |
| 5 | Cox, Ralf F. A. | - |
Univ Groningen - Países Bajos
Rijksuniversiteit Groningen - Países Bajos |
| Fuente |
|---|
| Universidad de Talca |
| Gobierno de Chile |
| NWO |
| Agencia Nacional de Investigacion y Desarrollo (ANID) |
| Agencia Nacional de Investigación y Desarrollo |
| ANID, Gobierno de Chile |
| NWO-Veni |
| Programa de Investigacion Asociativa en Ciencias Cognitivas, Universidad de Talca, Chile |
| Programa de Investigación Asociativa en Ciencias Cognitivas |
| Agradecimiento |
|---|
| We thank all participants who took part in the study. We acknowledge Mark Span (Ph.D.) for technical support on the experimental setup and software adaptation, and Christin Khafaji Zadeh for her valuable support on coding the data. Nicol A. Arellano-Veliz was funded by Agencia Nacional de Investigacion y Desarrollo (ANID), Gobierno de Chile (Ph.D. Scholarship 72200122), Bertus Jeronimus by NWO-Veni 016.195.405.Ramon D. Castillo was supported by ANID, Gobierno de Chile (FOVI210047; FONDEQUIP-EQM 190153) and Programa de Investigacion Asociativa en Ciencias Cognitivas (RU-158- 2019), Universidad de Talca, Chile. |
| We thank all participants who took part in the study. We acknowledge Mark Span (Ph.D.) for technical support on the experimental setup and software adaptation, and Christin Khafaji Zadeh for her valuable support on coding the data. Nicol A. Arellano-V\u00E9liz was funded by Agencia Nacional de Investigaci\u00F3n y Desarrollo (ANID), Gobierno de Chile (Ph.D. Scholarship 72200122), Bertus Jeronimus by NWO-Veni 016.195.405.Ram\u00F3n D. Castillo was supported by ANID, Gobierno de Chile (FOVI210047; FONDEQUIP-EQM 190153) and Programa de Investigaci\u00F3n Asociativa en Ciencias Cognitivas (RU-158-2019), Universidad de Talca, Chile. |