Pacheco Matheus M, Lafe Charley W, Newell Karl M
Motor Behavior Laboratory (LACOM), School of Physical Education and Sport, University of São Paulo, São Paulo, Brazil.
Motor Behavior Laboratory, Department of Kinesiology, University of Georgia, Athens, GA, United States.
Front Psychol. 2019 Aug 14;10:1874. doi: 10.3389/fpsyg.2019.01874. eCollection 2019.
In this paper we re-visit and elaborate-on the theoretical framework of learning as searching within the perceptual-motor workspace for a solution to the task. The central focus is the nature of search strategies to locate and create stable equilibrium regions in the perceptual-motor workspace and how these strategies relate to the emergent movement forms in the acquisition of coordination, control, and skill. In the ecological theory of perception and action, the enhanced stability of performance occurs through the attunement of the perceptual systems to the task dynamics together with modifications of action as task and intrinsic dynamics cooperate and/or compete. Thus, through practice in this search process, individuals adapt to the pick-up of task relevant perceptual variables and change their movement form according to the stability of the performed action and its outcome in relation to the task demands. Contemporary experimental findings have revealed features of the search process given the interaction of individual intrinsic dynamics in the context of task requirements and principles that drive the change - e.g., exploitation of more tolerant task-space solutions and emergence of compensatory mechanisms. Finally, we outline how the search strategy framework relates to traditional learning-related phenomena: including the dynamical pathways of learning, learning curves, factors of learning, individuality, motor development, and sport and rehabilitation interventions.
在本文中,我们重新审视并详细阐述了将学习视为在感知 - 运动工作空间中搜索任务解决方案的理论框架。核心关注点在于在感知 - 运动工作空间中定位并创建稳定平衡区域的搜索策略的本质,以及这些策略如何与协调、控制和技能习得过程中出现的运动形式相关联。在感知与行动的生态理论中,随着感知系统与任务动态相协调,以及行动随着任务和内在动态的协同和/或竞争而发生改变,表现的稳定性得以增强。因此,通过在这个搜索过程中的练习,个体适应于捕捉与任务相关的感知变量,并根据所执行动作的稳定性及其与任务要求相关的结果来改变他们的运动形式。当代实验结果揭示了在任务要求和驱动变化的原则背景下,个体内在动态相互作用时搜索过程的特征——例如,利用更具容错性的任务空间解决方案以及补偿机制的出现。最后,我们概述了搜索策略框架与传统学习相关现象的关联:包括学习的动态路径、学习曲线、学习因素、个体性、运动发展以及运动和康复干预。