Cross-Recurrence Quantification Analysis of the Influence of Coupling Constraints on Interpersonal Coordination and Communication

Just the sight of you: Postural effects of interpersonal visual contact at sea.

“…When interpersonal contact consists of conversation between two people who cannot see each other, the coupling of interpersonal postural activity is weak. It may be entirely absent, as when participants stand on a compliant surface (Stoffregen et al, 2009), or when they stand on a passively unstable surface (i.e., a pivoted balance board; Tolston et al, 2014). By contrast, when interpersonal contact was visual we found that interpersonal postural coordination was robust to powerful effects of the motion of a ship at sea.…”

“…It may be that visual contact provides stronger constraint than auditory contact (e.g., visual contact may make more restrictive demands than auditory contact on the control of bodily movement). However, in previous studies, mechanical perturbations have been internally generated (Stoffregen et al, 2009; Tolston et al, 2014). As noted above, externally generated auditory pacing can improve the stability of human movement (Roerdink et al, 2007; Thaut et al, 2007), even when such pacing is not entirely periodic (Kaipust et al, 2012).…”

“…In Stoffregen et al (2009), participants were given no practice standing on a mattress before the beginning of experimental trials. Similarly, Tolston et al (2014, Study 2) provided only one trial, lasting 130 s, in which participants had the opportunity to practice standing on a pivoted balance board. In future research on land it will be important to provide extended practice in the control of posture in the presence of mechanical perturbations before examining interpersonal postural coordination.…”

The Effect of Task-Load Transitions on Team Postural Dynamics

“…The windowed data were then submitted to Cross Recurrence Quantification Analysis (CRQA; Marwan, Romano, Thiel, & Kurths, 2007; Marwan & Kurths, 2002;Shockley et al, 2003), an analysis that quantifies structural similarity between different timeseries without many of the limiting assumptions associated with linear techniques (e.g., stationarity). In essence, CRQA looks for similar states and patterns (e.g., similar postural configurations and changes in such configurations) between two data streams and has been shown to be sensitive to the effects of various constraints on postural sway coupling dynamics among co-actors engaged in cooperative tasks (Shockley et al, 2003;Strang et al, 2014;Tolston, Ariyabuddhiphongs, et al, 2014;.…”

“…These findings beg the question of whether changes in MW, and/or TL (the primary driver of MW in single task paradigms), which tends to exhibit a reliable directional effect with performance, also exhibits a directional effect on the behavioral dynamics that support performance. There is preliminary evidence that this is the case, given that several studies have shown links between changes in MW/TL and physio-behavioral responses (e.g., heart rate) both intrapersonally (Bousefsaf, Maaoui, & Pruski, 2013;Hoover, Singh, Fishel-Brown, & Muth, 2012;Strang, Funke, Russell, Dukes, & Middendorf, 2014) and inter-personally (Shockley, Baker, Richardson, & Fowler, 2007;Shockley, Santana, & Fowler, 2003;Stoffregen, Giveans, Villard, & Shockley, 2013;Strang et al, 2014;Tolston, Ariyabuddhiphongs, Riley, & Shockley, 2014;Tolston, Shockley, Riley, & Richardson, 2014).…”