Meier, Deborah; Tschacher, Wolfgang (2021). Beyond dyadic coupling: The method of multivariate Surrogate Synchrony (mv-SUSY). Entropy, 23(11), p. 1385. MDPI 10.3390/e23111385
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy 04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychotherapy |
UniBE Contributor: |
Meier, Deborah, Tschacher, Wolfgang |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1099-4300 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Wolfgang Tschacher |
Date Deposited: |
08 Nov 2021 14:21 |
Last Modified: |
05 Dec 2022 15:53 |
Publisher DOI: |
10.3390/e23111385 |
BORIS DOI: |
10.48350/160286 |
URI: |
https://boris.unibe.ch/id/eprint/160286 |
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