Department of Kinesiology, Pennsylvania State University, United States.
Neurosci Lett. 2012 Nov 7;529(2):144-9. doi: 10.1016/j.neulet.2012.08.014. Epub 2012 Aug 15.
Individual differences in learning a motor task are rarely assessed even though they can potentially contribute to our understanding of the problem of motor redundancy-i.e., how individuals can exploit multiple different strategies to realize the task goal. This study examined individual variations in the preferred movement strategy of a redundant motor task. Thirty-two participants performed a star tracing task on a digitizing tablet with the goal of minimizing a performance score that was given as feedback. The performance score was a weighted combination of spatial error and movement time, meaning that multiple strategies could yield the same score. A cluster analysis revealed three distinct groups of individuals based on their initial movement strategy preferences. These groups were not only different on their initial performance, but also exhibited differences in both local (trial-to-trial change) and global (average change) search strategies that were reflected through differential modification of spatial and temporal components. Overall, the results in this space-time task reveal that the intrinsic dynamics of the individual channel the initial exploratory solutions to learning a redundant motor task.
个体在学习运动任务方面的差异很少被评估，尽管它们可能有助于我们理解运动冗余的问题，即个体如何利用多种不同的策略来实现任务目标。本研究考察了冗余运动任务中个体偏好运动策略的变化。32 名参与者在数字化板上进行了星形追踪任务，目标是将作为反馈给出的表现分数最小化。表现分数是空间误差和运动时间的加权组合，这意味着多种策略可以产生相同的分数。聚类分析根据个体初始运动策略偏好揭示了三个不同的群体。这些群体不仅在初始表现上存在差异，而且在局部（逐次试验变化）和全局（平均变化）搜索策略上也存在差异，这反映在空间和时间分量的不同修正上。总的来说，这项时空任务的结果表明，个体的内在动力学引导着学习冗余运动任务的初始探索性解决方案。
