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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MDPI AG
2021-10-01
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| Online Access: | https://www.mdpi.com/1099-4300/23/11/1385 |
| _version_ | 1797510430906646528 |
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| author | Deborah Meier Wolfgang Tschacher |
| author_facet | Deborah Meier Wolfgang Tschacher |
| author_sort | Deborah Meier |
| collection | DOAJ |
| 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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| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T05:31:23Z |
| publishDate | 2021-10-01 |
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| spelling | doaj.art-4f0b35a0fe58465e8fc71310e939c33a2023-11-22T23:14:12ZengMDPI AGEntropy1099-43002021-10-012311138510.3390/e23111385Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)Deborah Meier0Wolfgang Tschacher1University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, SwitzerlandUniversity Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, SwitzerlandMeasuring 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.https://www.mdpi.com/1099-4300/23/11/1385surrogate synchronymultivariate analysissimulationmovement synchrony |
| spellingShingle | Deborah Meier Wolfgang Tschacher Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY) Entropy surrogate synchrony multivariate analysis simulation movement synchrony |
| 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 | surrogate synchrony multivariate analysis simulation movement synchrony |
| url | https://www.mdpi.com/1099-4300/23/11/1385 |
| work_keys_str_mv | AT deborahmeier beyonddyadiccouplingthemethodofmultivariatesurrogatesynchronymvsusy AT wolfgangtschacher beyonddyadiccouplingthemethodofmultivariatesurrogatesynchronymvsusy |