Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Exp Brain Res. 2013 Feb;224(3):323-34. doi: 10.1007/s00221-012-3314-2. Epub 2012 Oct 30.
Stringed instrument bowing is a complex sensorimotor skill, involving fine regulation of bow orientation and motion relative to the string. In this study, we characterize this skill in terms of stabilization of specific bow parameters as well as the underlying use and coordination of the degrees of freedom (DOF) of the right bowing arm. Age-matched samples of 10 advanced cellists and 10 cello novices took part in the study. Kinematic bow movement data were analyzed with respect to task variables suggested by the cello teaching literature: position and orientation of the bow relative to the string, bow velocity, and timing. Joint motion of the bowing arm was analyzed in terms of movement amplitude and inter-joint coordination (principal component analysis). As expected, novices showed poorer control of bowing parameters. In addition, novices differed markedly from advanced players in the use and coordination of the DOF of the bowing arm, with the elbow and wrist showing less overall movement and a reduced proportion of variance explained by the first principal component (PC1). In contrast, larger amounts of shoulder variance were explained by PC1 in novices compared to experts. Our findings support Bernstein's theory of graded skill acquisition, according to which early stages of motor skill learning are characterized by a "freezing" of movement DOF, while later learning stages exploit the DOF, possibly following a proximal-to-distal sequence, for improved task performance.
弦乐器弓法是一种复杂的感觉运动技能,涉及到对弓的方向和运动相对于弦的精细调节。在这项研究中,我们从特定弓参数的稳定性以及对右臂自由度(DOF)的使用和协调的角度来描述这项技能。10 名高级弦乐演奏家和 10 名弦乐新手参加了这项研究。运动学弓动数据根据弦乐教学文献中提出的任务变量进行了分析:弓相对于弦的位置和方向、弓的速度和时间。手臂的关节运动根据运动幅度和关节间协调(主成分分析)进行了分析。正如预期的那样,新手对弓法参数的控制较差。此外,新手在对弓臂的 DOF 的使用和协调方面与高级演奏者有明显的差异,肘部和手腕的整体运动较少,第一主成分(PC1)解释的方差比例降低。相比之下,新手肩部的更多方差由 PC1 解释,而不是专家。我们的研究结果支持伯恩斯坦的分级技能习得理论,根据该理论,运动技能学习的早期阶段以运动 DOF 的“冻结”为特征,而后期学习阶段可能会根据近端到远端的顺序利用 DOF 来提高任务表现。