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基于关联的选择性:内隐学习的案例。

Relevance-based selectivity: the case of implicit learning.

机构信息

Psychology Department, University of Haifa.

出版信息

J Exp Psychol Hum Percept Perform. 2013 Dec;39(6):1508-15. doi: 10.1037/a0033853. Epub 2013 Aug 12.

DOI:10.1037/a0033853
PMID:23937215
Abstract

Learning the structure of the environment (e.g., what usually follows what) enables animals to behave in an effective manner and prepare for future events. Unintentional learning is capable of efficiently producing such knowledge as has been demonstrated with the Artificial Grammar Learning paradigm (AGL), among others. It has been argued that selective attention is a necessary and sufficient condition for visual implicit learning. Experiment 1 shows that spatial attention is not sufficient for implicit learning. Learning does not occur if the stimuli instantiating the structure are task irrelevant. In a second experiment, we demonstrate that this holds even with abundance of available attentional resources. Together, these results challenge the current view of the relations between attention, resources, and implicit learning.

摘要

学习环境的结构(例如,通常什么跟在什么后面)使动物能够以有效的方式行为,并为未来的事件做好准备。非有意学习能够有效地产生这样的知识,这已经在人工语法学习范式(AGL)等中得到了证明。有人认为选择性注意是视觉内隐学习的必要和充分条件。实验 1 表明,空间注意对于内隐学习来说并不充分。如果构成结构的刺激与任务无关,则不会发生学习。在第二个实验中,我们证明即使有大量可用的注意力资源,这也是成立的。这些结果共同挑战了当前关于注意力、资源和内隐学习之间关系的观点。

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