Kimoto Yudai, Hirano Masato, Furuya Shinichi
Sony Computer Science Laboratories Inc. (Sony CSL), Tokyo, Japan.
NeuroPiano Institute, Kyoto, Japan.
Commun Biol. 2025 Jan 24;8(1):118. doi: 10.1038/s42003-025-07562-6.
Complex motor skills involve intricate sequences of movements that require precise temporal coordination across multiple body parts, posing challenges to mastery based on perceived error or reward. One approach that has been widely used is to decompose such skills into simpler, constituent movement elements during the learning process, thereby aligning the task complexity with the learners' capacity for accurate execution. Despite common belief and prevalent adoption, the effectiveness of this method remains elusive. Here we addressed this issue by decomposing a sequence of precisely timed coordination of movements across multiple fingers into individual constituent elements separately during piano practice. The results demonstrated that the decomposition training enhanced the accuracy of the original motor skill, a benefit not achieved through mere repetition of movements alone, specifically when skilled pianists received explicit visual feedback on timing error in the order of milliseconds during training. During the training, the patterns of multi-finger movements changed significantly, suggesting exploration of movements to refine the skill. By contrast, neither unskilled pianists who underwent the same training nor skilled pianists who performed the decomposition training without receiving visual feedback on the error showed improved skill through training. These findings offer novel evidences suggesting that decomposing a complex motor skill, coupled with receiving feedback on subtle movement error during training, further enhances motor expertise of skilled individuals by facilitating exploratory refinement of movements.
复杂的运动技能涉及错综复杂的动作序列,需要多个身体部位之间精确的时间协调,这给基于感知错误或奖励的掌握带来了挑战。一种广泛使用的方法是在学习过程中将此类技能分解为更简单的组成运动元素,从而使任务复杂性与学习者准确执行的能力相匹配。尽管人们普遍相信并广泛采用这种方法,但其有效性仍然难以捉摸。在这里,我们通过在钢琴练习过程中将多个手指精确计时的协调动作序列分别分解为各个组成元素来解决这个问题。结果表明,分解训练提高了原始运动技能的准确性,这是仅通过重复动作无法实现的好处,特别是当熟练的钢琴家在训练过程中收到关于毫秒级时间误差的明确视觉反馈时。在训练过程中,多指运动模式发生了显著变化,表明通过探索动作来完善技能。相比之下,接受相同训练的非熟练钢琴家以及在没有收到关于误差的视觉反馈的情况下进行分解训练的熟练钢琴家,都没有通过训练提高技能。这些发现提供了新的证据,表明分解复杂的运动技能,再加上在训练过程中收到关于细微运动误差的反馈,通过促进动作的探索性完善,进一步提高了熟练个体的运动专业水平。