Davis Tehran J, Brooks Thomas R, Dixon James A
Center for the Ecological Study of Perception and Action and Department of Psychological Sciences, University of Connecticut, Storrs, CT 06260-1020, USA.
J Sport Health Sci. 2016 Mar;5(1):25-34. doi: 10.1016/j.jshs.2016.01.015. Epub 2016 Jan 21.
Interpersonal coordination is an essential aspect of daily life, and crucial to performance in cooperative and competitive team sports. While empirical research has investigated interpersonal coordination using a wide variety of analytical tools and frameworks, to date very few studies have employed multifractal techniques to study the nature of interpersonal coordination across multiple spatiotemporal scales. In the present study we address this gap.
We investigated the dynamics of a simple dyadic interpersonal coordination task where each participant manually controlled a virtual object in relation to that of his or her partner. We tested whether the resulting hand-movement time series exhibits multi-scale properties and whether those properties are associated with successful performance.
Using the formalism of multifractals, we show that the performance on the coordination task is strongly multi-scale, and that the multi-scale properties appear to arise from interaction-dominant dynamics. Further, we find that the measure of across-scale interactions, multifractal spectrum width, predicts successful performance at the level of the dyad.
The results are discussed with respect to the implications of multifractals and interaction-dominance for understanding control in an interpersonal context.
人际协调是日常生活的一个重要方面，对于团队合作和竞技运动的表现至关重要。虽然实证研究已经使用各种各样的分析工具和框架来研究人际协调，但迄今为止，很少有研究采用多重分形技术来研究跨多个时空尺度的人际协调的本质。在本研究中，我们填补了这一空白。
我们研究了一个简单的二元人际协调任务的动态过程，其中每个参与者相对于其伙伴手动控制一个虚拟物体。我们测试了由此产生的手部运动时间序列是否表现出多尺度特性，以及这些特性是否与成功表现相关。
使用多重分形的形式体系，我们表明协调任务的表现具有很强的多尺度性，并且多尺度特性似乎源于以相互作用为主导的动态过程。此外，我们发现跨尺度相互作用的度量，即多重分形谱宽度，在二元组层面上预测了成功表现。
讨论了多重分形和相互作用主导对于理解人际背景下的控制的意义的结果。
