Department of Psychology, University of Cincinnati, Cincinnati, OH, USA.
Hum Mov Sci. 2012 Oct;31(5):1253-67. doi: 10.1016/j.humov.2011.12.004. Epub 2012 Mar 9.
In recent years, research in the field of social interactions has focused on the exploration of the coordinative structures that substantiate joint task performance. The current project explores whether interpersonal coordination during joint task performance gives rise to a joint coordinative structure across individuals, and whether such coordinative structures are affected by task demands. Principal component analysis (PCA) is used to identify relevant interpersonal and intrapersonal coordinative modes for the single and joint performance of a supra-postural task, which varied along its precision and role demands. In addition, cross-recurrence quantification analysis (CRQA) was combined with PCA in order to quantify the degree and stability of interpersonal coordination across intrapersonal coordinative modes. Results indicate that the composition and number of coordinative modes varied for joint compared to single performance, and that interpersonal coordination across the first coordinative mode increased in degree and stability for joint compared to single performance. Overall, these findings indicate that joint coordinative structures are affected by the nature of the task performed and the constraints it places on joint and single performance.
近年来，社会互动领域的研究重点集中在探索构成联合任务表现的协调结构上。本项目探讨了在联合任务表现过程中人际协调是否会在个体之间产生联合协调结构，以及这种协调结构是否受到任务需求的影响。主成分分析（PCA）用于识别单一和联合完成超姿势任务的相关人际和个体协调模式，该任务沿其精度和角色需求而变化。此外，交叉递归定量分析（CRQA）与 PCA 相结合，以量化个体协调模式之间人际协调的程度和稳定性。结果表明，与单一表现相比，联合表现的协调模式组成和数量有所不同，并且与单一表现相比，第一协调模式的人际协调在程度和稳定性上有所增加。总体而言，这些发现表明，联合协调结构受到所执行任务的性质以及任务对联合和单一表现的限制的影响。
