Emergent complexity matching in interpersonal coordination: Local dynamics and global variability.

Abstract

Rhythmic coordination with stimuli and other people's movements containing variable or unpredictable fluctuations might involve distinct processes: detecting the fluctuation structure and tuning to or matching the structure's temporal complexity. This framework predicts that global tuning and local parameter adjustments (e.g., position, velocity or phase) can operate independently during coordination (Marmelat & Delignières, 2012). Alternatively, we propose that complexity matching is a result of local phase adjustments during coordination (Delignières & Marmelat, 2014; Torre, Varlet, & Marmelat, 2013). The current study examined this relationship in a rhythmic interpersonal coordination task. Dyads coordinated swinging pendulums that differed in their uncoupled frequencies (detuning). We predicted that frequency detuning would require increased local corrections to maintain the intended phase pattern (in phase). This was expected to yield a relative phase shift accompanied by a change in period complexity and matching. Experimental data and numerical modeling of the pendulum dynamics confirmed our predictions. Increased relative phase shifts occurred simultaneously with increased dissociation between individuals' movement period complexity. This provided evidence that global complexity matching is intricately linked to local movement adjustments and is not a distinct coordination mechanism. These findings are considered with respect to dynamical and computational approaches to interpersonal coordination.

Experimental control of scaling behavior: what is not fractal?

“…1993; Fine et al 2015;Gorman et al 2010;Ihlen and Vereijken 2010;Likens et al 2014;Marmelat and Delignières 2012;Marmelat et al 2014;Valdez and Amazeen 2008, 2010Van Orden et al 2003). Such demonstrations have led to potentially fruitful hypotheses and applications.…”

“…There are examples of fractals in physiology (e.g., Goldberger et al 2002;Ivanov et al 2001;Papo 2013;Peng et al 1994Peng et al , 2002; intraperson behavior (Aks et al 2002;Delignières et al 2008;Gilden et al 1995;Gilden 2001Gilden , 2009Ihlen and Vereijken 2010;Kello et al 2007;Torre et al 2007;Torre and Wagenmakers 2009;Anastas et al 2011;Valdez and Amazeen 2008, 2010Van Orden et al 2003); interperson behavior (e.g., Fine et al 2015;Gorman et al 2010;Likens et al 2014;Marmelat and Delignières 2012); and countless other non-human processes (Bak 1997;Mandelbrot 1983;Solé and Goodwin 2000). Thus, it is no wonder that some researchers investigating fractal phenomena use words like "ubiquitous" (Van Orden et al 2003;Van Orden 2010) and "pervasive" (Kello et al 2008) in favor of "idiosyncratic" (Torre and Wagenmakers 2009).…”

Dynamics of Simultaneous and Imitative Bodily Coordination in Trust and Distrust

“…Although motion capture systems have been previously used to study interpersonal coordination in joint tasks (Fine and Amazeen, 2011; Varlet et al, 2011; Ragert et al, 2013; Vesper et al, 2013; Fine et al, 2015; Gueugnon et al, 2016; Llobera et al, 2016; Preissmann et al, 2016; Chang et al, 2017; Romero et al, 2017), the present research is, to the best of our knowledge, the first to adapt motion capture to record spontaneous body movements of individuals engaged in real conversations. This technique has the advantage of allowing us to record accurate and detailed measurements of the attributes that shape interpersonal coordination, such as time (e.g., zero-lag or time-delayed), space (e.g., amplitude and direction of synchronized motions) and form (e.g., mirror-like and anatomical coordination).…”

Complexity matching effects in bimanual and interpersonal syncopated finger tapping

“…In particular, there is disagreement concerning the extent to which CM relies on local coordinative processes [22,23,26,28]. Several studies have cited the lack of substantial short-term cross-correlation during CM as evidence against the local coordination account [23,25,29,30].…”