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:	Deborah Meier, Wolfgang Tschacher
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	surrogate synchrony multivariate analysis simulation movement synchrony Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/4f0b35a0fe58465e8fc71310e939c33a
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spelling	oai:doaj.org-article:4f0b35a0fe58465e8fc71310e939c33a2021-11-25T17:29:11ZBeyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)10.3390/e231113851099-4300https://doaj.org/article/4f0b35a0fe58465e8fc71310e939c33a2021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1385https://doaj.org/toc/1099-4300Measuring 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.Deborah MeierWolfgang TschacherMDPI AGarticlesurrogate synchronymultivariate analysissimulationmovement synchronyScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1385, p 1385 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	surrogate synchrony multivariate analysis simulation movement synchrony Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	surrogate synchrony multivariate analysis simulation movement synchrony Science Q Astrophysics QB460-466 Physics QC1-999 Deborah Meier Wolfgang Tschacher Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)
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	article
author	Deborah Meier Wolfgang Tschacher
author_facet	Deborah Meier Wolfgang Tschacher
author_sort	Deborah Meier
title	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_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_sort	beyond dyadic coupling: the method of multivariate surrogate synchrony (mv-susy)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4f0b35a0fe58465e8fc71310e939c33a
work_keys_str_mv	AT deborahmeier beyonddyadiccouplingthemethodofmultivariatesurrogatesynchronymvsusy AT wolfgangtschacher beyonddyadiccouplingthemethodofmultivariatesurrogatesynchronymvsusy
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Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)

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