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Comparing bivariate and multivariate timeseries analysis in joint action using cross-recurrence quantification analysis

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Abstract

When pursuing a shared goal, pairs of individuals act in ways that reflect the reciprocal relationships between individual and interpersonal capabilities, demands, and actions. One important question facing researchers is how to best analyze these joint action data given the many behaviors spread out across multiple actors that contribute to achieving the shared outcome. In this paper, we compare the analysis of interpersonal motor coordination when using a single measured timeseries from each actor to using multivariate (more than two) timeseries when using cross-recurrence quantification analysis (CRQA). Pairs of participants completed a joint Fitts’s task by moving their arms between two targets relative to one another (in-phase or anti-phase). Asymmetries in the task demands were produced by varying the relative distances participants had to move between targets and individual stance demands. Our results indicate that when using a multivariate timeseries from each actor for phase space reconstruction, CRQA was more sensitive to changes in coordination dynamics brought about by these experimental manipulations, suggesting that when available, joint action researchers would benefit from using multivariate timeseries in the analysis of behavior.

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Data availability statement

This manuscript has associated data in a data repository. [Authors’ comment: Please see statement 1 in the supplemental materials and notes section for direct access to code and examples for the employed analyses. Access to the data repository will be made available upon request.]

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Authors and Affiliations

  1. Department of Psychology, Center for Cognition, Action & Perception, University of Cincinnati, Cincinnati, OH, 45221, USA

    Sierra F. Corbin & Tehran J. Davis

Authors
  1. Sierra F. Corbin
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  2. Tehran J. Davis
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Contributions

TJD conceived of the study and designed the experiments. SFC performed the quantitative analysis. Both the authors contributed equally to the draft of the manuscript.

Corresponding author

Correspondence to Sierra F. Corbin.

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The authors declare that we have no financial or non-financial competing interests associated with the submission and publication of this manuscript.

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Corbin, S.F., Davis, T.J. Comparing bivariate and multivariate timeseries analysis in joint action using cross-recurrence quantification analysis. Eur. Phys. J. Spec. Top. 232, 169–177 (2023). https://doi.org/10.1140/epjs/s11734-022-00745-w

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