Abstract

Through the view of the search strategies approach to skill acquisition–and its dynamic systems theoretical background–non-local changes in behavior are expected to emerge through a process of decreased stability (increased variability) of the ongoing movement pattern as to allow exploration of new regions of the perceptual-motor workspace. However, previous studies have not found such relation; only in non-redundant tasks. We believe that such issue occurs because these previous studies have focused on the movement pattern variability while in redundant tasks the variability that matters is at the task space level. Therefore, we analyzed the data of 15 individuals that practiced a throwing task for five days in terms of their movement patterns and release parameters to test whether increased variability at the task level was predictive of non-local changes in practice. We found that, for non-local changes at both release parameters and movement pattern levels, performance and performance variability were significant predictors. We discuss these results highlighting that they support a strong assumption of the search strategies approach, corroborate to the dynamical systems view on motor learning, and pointing the lack of consideration of non-local changes in other theories of motor learning.

摘要

从技能获取的搜索策略方法及其动态系统理论背景来看，非局部行为变化预计将通过持续运动模式稳定性降低（可变性增加）的过程出现，以便探索新的感知运动工作区的区域。然而，以往的研究并没有发现这种关系；仅在非冗余任务中。我们认为，之所以会出现这样的问题，是因为这些先前的研究都集中在运动模式的可变性上，而在冗余任务中，重要的可变性是在任务空间级别。所以，我们分析了 15 名练习投掷任务五天的人的运动模式和释放参数的数据，以测试任务级别增加的可变性是否可以预测练习中的非局部变化。我们发现，对于释放参数和运动模式级别的非局部变化，性能和性能可变性是重要的预测因素。我们讨论这些结果，强调它们支持搜索策略方法的强假设，证实了关于运动学习的动态系统观点，并指出其他运动学习理论中缺乏对非局部变化的考虑。绩效和绩效可变性是重要的预测因素。我们讨论这些结果，强调它们支持搜索策略方法的强假设，证实了关于运动学习的动态系统观点，并指出其他运动学习理论中缺乏对非局部变化的考虑。绩效和绩效可变性是重要的预测因素。我们讨论这些结果，强调它们支持搜索策略方法的强假设，证实了关于运动学习的动态系统观点，并指出其他运动学习理论中缺乏对非局部变化的考虑。