Self-organized complementary joint action: Behavioral dynamics of an interpersonal collision-avoidance task.
Self-organized complementary joint action: Behavioral dynamics of an interpersonal collision-avoidance task.
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DOI：
10.1037/xhp0000041
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发表时间：
2015-06
期刊：
影响因子：
--
通讯作者：
Schmidt RC
中科院分区：
文献类型：
--
作者：
Richardson MJ;Harrison SJ;Kallen RW;Walton A;Eiler BA;Saltzman E;Schmidt RC
了解人际运动协调的稳定模式对于理解成功的社交互动和活动（即联合行动）至关重要。先前研究此类协调的研究主要集中在简单节奏运动的同步（例如手指/前臂振荡或钟摆摆动）。然而，很少有研究探索任务导向的互补协调任务中出现的稳定协调模式。因此，当前研究的目的是调查和模拟互补的防撞任务的行为动力学。参与者配对执行重复的瞄准任务，他们在目标位置组之间来回移动计算机刺激，而不会相互碰撞。结果显示，两人很快收敛到一种稳定、不对称的运动协调模式，反映了参与者之间的差异控制，其中一名参与者在目标之间采用更直线的运动轨迹，而另一名参与者在目标之间采用更椭圆的轨迹。这种不对称的运动模式的另一个特点是参与者之间存在相位滞后，这对于任务的成功至关重要。耦合方向性分析和动态建模表明，这种动态机制是由于定义参与者对的任务动态的耦合函数中参与者特定的差异造成的。总的来说，当前的研究结果提供了证据，表明先前确定为简单运动同步基础的动态协调过程也可以支持更复杂的、目标导向的联合行动行为，并且可以参与互补联合行动角色的自发出现。
Understanding stable patterns of interpersonal movement coordination is essential to understanding successful social interaction and activity (i.e., joint action). Previous research investigating such coordination has primarily focused on the synchronization of simple rhythmic movements (e.g., finger/forearm oscillations or pendulum swinging). Very few studies, however, have explored the stable patterns of coordination that emerge during task-directed complementary coordination tasks. Thus, the aim of the current study was to investigate and model the behavioral dynamics of a complementary collision-avoidance task. Participant pairs performed a repetitive targeting task in which they moved computer stimuli back and forth between sets of target locations without colliding into each other. The results revealed that pairs quickly converged onto a stable, asymmetric pattern of movement coordination that reflected differential control across participants, with 1 participant adopting a more straight-line movement trajectory between targets, and the other participant adopting a more elliptical trajectory between targets. This asymmetric movement pattern was also characterized by a phase lag between participants and was essential to task success. Coupling directionality analysis and dynamical modeling revealed that this dynamic regime was due to participant-specific differences in the coupling functions that defined the task-dynamics of participant pairs. Collectively, the current findings provide evidence that the dynamical coordination processes previously identified to underlie simple motor synchronization can also support more complex, goal-directed, joint action behavior, and can participate the spontaneous emergence of complementary joint action roles.