Département de kinésiologie, Université de Montréal, Station Downtown, P.O. Box 6128, Montréal, QC, H3C 3J7, Canada.
Exp Brain Res. 2013 Aug;229(1):125-37. doi: 10.1007/s00221-013-3598-x. Epub 2013 Jun 8.
Observation contributes to motor learning. It was recently demonstrated that the observation of both a novice and an expert model (mixed observation) resulted in better learning of a complex spatiotemporal task than the observation of either a novice or an expert model. In experiment 1, we aimed to determine whether mixed observation better promotes learning due to the information that can be gained from two models who exhibit different skill levels or simply because multiple models, regardless of their level of expertise, better promote learning than would a single model. The results revealed that the observation of both an expert and a novice model resulted in better short-term retention than the observation of either two novice or two expert models. In experiment 2, we wanted to determine whether these benefits would last longer if physical practice trials were interspersed with observation. Mixed and (to some extent) expert observations resulted in better long-term retention than observation of a novice model. We suggest that alternating mixed/expert observation with physical practice trials makes one's error more salient than when all observation trials are completed before one first starts performing the experimental task, which increases activation of the action observation network.
观察有助于运动学习。最近的研究表明,相较于仅观察新手或专家模型,同时观察新手和专家模型(混合观察)可以使复杂时空任务的学习效果更好。在实验 1 中,我们旨在确定混合观察是否因为可以从两个表现出不同技能水平的模型中获取信息而更好地促进学习,或者仅仅是因为多个模型(无论其专业水平如何)比单个模型更能促进学习。结果表明,观察专家和新手模型的效果均优于观察两个新手或两个专家模型。在实验 2 中,我们想确定如果将物理练习与观察交替进行,这些益处是否会持续更长时间。混合观察和(在一定程度上)专家观察的效果优于观察新手模型。我们认为,与在执行实验任务之前先完成所有观察任务相比,将混合/专家观察与物理练习交替进行会使动作观察网络的激活更加明显,从而使个体的错误更加突出。