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感觉运动信息处理基础:对学习的一些启示。

Basics for sensorimotor information processing: some implications for learning.

机构信息

Laboratoire de Neurosciences Cognitives UMR 7291, Faculté des Sciences, Aix-Marseille Université CNRS, Marseille, France.

Institut de Recherche Biomédicale des Armées-Equipe Résidante de Recherche Subaquatique Opérationnelle Toulon, France.

出版信息

Front Psychol. 2015 Feb 16;6:33. doi: 10.3389/fpsyg.2015.00033. eCollection 2015.

Abstract

In sensorimotor activities, learning requires efficient information processing, whether in car driving, sport activities or human-machine interactions. Several factors may affect the efficiency of such processing: they may be extrinsic (i.e., task-related) or intrinsic (i.e., subjects-related). The effects of these factors are intimately related to the structure of human information processing. In the present article we will focus on some of them, which are poorly taken into account, even when minimizing errors or their consequences is an essential issue at stake. Among the extrinsic factors, we will discuss, first, the effects of the quantity and quality of information, secondly, the effects of instruction and thirdly motor program learning. Among the intrinsic factors, we will discuss first the influence of prior information, secondly how individual strategies affect performance and, thirdly, we will stress the fact that although the human brain is not structured to function errorless (which is not new) humans are able to detect their errors very quickly and (in most of the cases), fast enough to correct them before they result in an overt failure. Extrinsic and intrinsic factors are important to take into account for learning because (1) they strongly affect performance, either in terms of speed or accuracy, which facilitates or impairs learning, (2) the effect of certain extrinsic factors may be strongly modified by learning and (3) certain intrinsic factors might be exploited for learning strategies.

摘要

在感觉运动活动中,学习需要高效的信息处理,无论是在驾驶汽车、进行体育活动还是人机交互中。有几个因素可能会影响到这种处理的效率:它们可能是外在的(即与任务相关的),也可能是内在的(即与主体相关的)。这些因素的影响与人类信息处理的结构密切相关。在本文中,我们将重点讨论其中一些因素,即使最小化错误或其后果是至关重要的问题,这些因素也往往被忽视。在外在因素中,我们将首先讨论信息数量和质量的影响,其次是指令的影响,最后是运动程序学习的影响。在内在因素中,我们将首先讨论先前信息的影响,其次是个体策略如何影响表现,最后,我们要强调一个事实,即尽管人类大脑的结构不是无错误的(这并不是什么新鲜事),但人类能够非常迅速地发现自己的错误,并且(在大多数情况下),能够足够快地在错误导致明显失败之前纠正它们。外在因素和内在因素对于学习都很重要,因为(1)它们会强烈影响表现,无论是在速度还是准确性方面,从而促进或阻碍学习,(2)某些外在因素的影响可能会因学习而大大改变,(3)某些内在因素可能会被用于学习策略。

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