Abstract: A. Strang, G. Funke, S. Russell, A. Dukes, M. Middendorf (2014)

Journal of Experimental Psychology: Human Perception and Performance, 40(1), 145–158p. (2014) DOI:10.1037/a0033125

Physio-behavioral coupling in a cooperative team task: Contributors and relations

Research indicates that coactors performing cooperative tasks often exhibit spontaneous and unintended similarities in their physiological and behavioral responses-a phenomenon referred to here as physiobehavioral coupling (PBC). The purpose of this research was to identify contributors to PBC; examine relationships between PBC, team performance, and perceived team attributes (e.g., cohesion, trust); and compare a set of time-series measures(cross-correlation [CC], cross-recurrence quantification analysis [CRQA], and cross-fuzzy entropy [CFEn]) in their characterization of PBC across comparisons. To accomplish this, PBC was examined in human postural sway (PS) and cardiac interbeat intervals (IBIs) from dyadic teams performing a fast-paced puzzle task (Quadra-a variant of the video game Tetris). Results indicated that observed levels of PBC were not a chance occurrence, but instead driven by features of the team-task environment, and that PBC was likely influenced by similar individual task demands and interpersonal coordination dynamics that were not "unique" to a particular team. Correlation analysis revealed that PBC exhibited negative relationships with team performance and team attributes, which were interpreted to reflect complementary coordination (as opposed to mimicry) during task performance, potentially due to differentiated team roles. Finally, qualitative comparison of timeseries measures used to characterize PBC indicated that CRQA percent recurrence and CFEn (both nonlinear measures) settled on mostly analogous characterizations, whereas linear CC did not. The disparity observed between the linear and nonlinear measures highlights underlying computational and interpretational differences between the two families of statistics and supports the use of multiple metrics for characterizing PBC.

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