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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8623376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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