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Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)

Measuring interpersonal synchrony is a promising approach to assess the complexity of social interaction, which however has been mostly limited to dyads. In this study, we introduce multivariate Surrogate Synchrony (mv-SUSY) to extend the current set of computational methods. Methods: mv-SUSY was ap...

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Autores principales: Meier, Deborah, Tschacher, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623376/
https://www.ncbi.nlm.nih.gov/pubmed/34828083
http://dx.doi.org/10.3390/e23111385
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author Meier, Deborah
Tschacher, Wolfgang
author_facet Meier, Deborah
Tschacher, Wolfgang
author_sort Meier, Deborah
collection PubMed
description Measuring interpersonal synchrony is a promising approach to assess the complexity of social interaction, which however has been mostly limited to dyads. In this study, we introduce multivariate Surrogate Synchrony (mv-SUSY) to extend the current set of computational methods. Methods: mv-SUSY was applied to eight datasets consisting of 10 time series each, all with n = 9600 observations. Datasets 1 to 5 consist of simulated time series with the following characteristics: white noise (dataset 1), non-stationarity with linear time trends (dataset 2), autocorrelation (dataset 3), oscillation (dataset 4), and multivariate correlation (dataset 5). Datasets 6 to 8 comprise empirical multivariate movement data of two individuals (datasets 6 and 7) and between members of a group discussion (dataset 8.) Results: As hypothesized, findings of mv-SUSY revealed absence of synchrony in datasets 1 to 4 and presence of synchrony in dataset 5. In the empirical datasets, mv-SUSY indicated significant movement synchrony. These results were predominantly replicated by two well-established dyadic synchrony approaches, Surrogate Synchrony (SUSY) and Surrogate Concordance (SUCO). Conclusions: The study applied and evaluated a novel synchrony approach, mv-SUSY. We demonstrated the feasibility and validity of estimating multivariate nonverbal synchrony within and between individuals by mv-SUSY.
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spelling pubmed-86233762021-11-27 Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY) Meier, Deborah Tschacher, Wolfgang Entropy (Basel) Article Measuring interpersonal synchrony is a promising approach to assess the complexity of social interaction, which however has been mostly limited to dyads. In this study, we introduce multivariate Surrogate Synchrony (mv-SUSY) to extend the current set of computational methods. Methods: mv-SUSY was applied to eight datasets consisting of 10 time series each, all with n = 9600 observations. Datasets 1 to 5 consist of simulated time series with the following characteristics: white noise (dataset 1), non-stationarity with linear time trends (dataset 2), autocorrelation (dataset 3), oscillation (dataset 4), and multivariate correlation (dataset 5). Datasets 6 to 8 comprise empirical multivariate movement data of two individuals (datasets 6 and 7) and between members of a group discussion (dataset 8.) Results: As hypothesized, findings of mv-SUSY revealed absence of synchrony in datasets 1 to 4 and presence of synchrony in dataset 5. In the empirical datasets, mv-SUSY indicated significant movement synchrony. These results were predominantly replicated by two well-established dyadic synchrony approaches, Surrogate Synchrony (SUSY) and Surrogate Concordance (SUCO). Conclusions: The study applied and evaluated a novel synchrony approach, mv-SUSY. We demonstrated the feasibility and validity of estimating multivariate nonverbal synchrony within and between individuals by mv-SUSY. MDPI 2021-10-22 /pmc/articles/PMC8623376/ /pubmed/34828083 http://dx.doi.org/10.3390/e23111385 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meier, Deborah
Tschacher, Wolfgang
Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title_full Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title_fullStr Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title_full_unstemmed Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title_short Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
title_sort beyond dyadic coupling: the method of multivariate surrogate synchrony (mv-susy)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623376/
https://www.ncbi.nlm.nih.gov/pubmed/34828083
http://dx.doi.org/10.3390/e23111385
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