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Individual differences in the exploration of a redundant space-time motor task

机译:探索冗余时空运动任务中的个体差异

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摘要

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.
机译:尽管学习运动任务的个体差异可能有助于我们对运动冗余问题的理解,即个人如何利用多种不同的策略来实现任务目标,但很少评估他们之间的差异。这项研究检查了冗余运动任务的首选运动策略中的个体差异。 32位参与者在数字化平板电脑上执行了寻星任务,目的是最大限度地降低作为反馈给出的性能得分。性能得分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得分。聚类分析根据其初始运动策略偏好显示了三个不同的个体组。这些组不仅在初始性能上有所不同,而且在局部(从试验到试验的变化)和全局(平均变化)的搜索策略上也表现出差异,这些差异通过对空间和时间成分的不同修改来体现。总体而言,该时空任务的结果表明,单个通道的内在动力学是学习冗余运动任务的初步探索性解决方案。

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