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理解内隐知觉序列学习中的抽象知识结构。

Understanding abstract knowledge structures in implicit perceptual sequence learning.

作者信息

Duta Catalina, Deroost Natacha, Firouzi Mahyar, Van Overwalle Frank, Baeken Chris, Baetens Kris

机构信息

Brain, Body and Cognition Research Group, Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Pleinlaan 5, 1050, Elsene, Belgium.

Center for Neurosciences (C4N), Vrije Universiteit Brussel, Elsene, Belgium.

出版信息

Psychol Res. 2025 Jul 2;89(4):115. doi: 10.1007/s00426-025-02152-x.

DOI:10.1007/s00426-025-02152-x
PMID:40601083
Abstract

Traditional approaches to studying perceptual sequence learning (SL) often employ adaptations of the classical serial reaction time task, albeit these tasks suffer from confounding factors such as (oculo)motor learning effects. Unlike motor SL, the extent to which pure perceptual SL can occur implicitly without (oculo)motor learning remains uncertain. We adapted a previously formulated task (Garvert et al., eLife, 6, 1-20, 2017) to isolate perceptual sequence learning, without the interference of (oculo)motor confounds, and to determine whether perceptual sequence learning can occur implicitly. Fifty participants judged whether each object appeared in its original or mirrored form, gradually improving performance based on feedback. Unbeknownst to participants, the succession of these objects followed a probabilistic sequence. A training phase consisting of 8 regular blocks was followed by a testing phase, where 5 random and 5 regular blocks were presented alternatingly. A force-choice recognition test probing knowledge about specific transitions in the task was also used to assess explicit knowledge. Our findings indicate robust perceptual SL effects, as indicated by slower reaction times (RTs) in random blocks than regular blocks. Notably, transitions between objects with higher communicability (i.e., a metric of objects' connectedness within the underlying grid) showed lower RTs in regular, but not random blocks. This indicates that perceptual SL in our task may rely on strategic cognitive processes in response to violations of expectation. Importantly, our results also demonstrate that explicit knowledge of the underlying structure did not influence perceptual SL in any way, suggesting that learning was driven by implicit knowledge.

摘要

传统的感知序列学习(SL)研究方法通常采用经典序列反应时任务的改编形式,尽管这些任务存在诸如(眼)动学习效应等混杂因素。与运动序列学习不同,纯感知序列学习在不涉及(眼)动学习的情况下能在多大程度上隐性发生仍不确定。我们改编了之前设计的一项任务(Garvert等人,《eLife》,6,1 - 20,2017),以分离感知序列学习,避免(眼)动混淆因素的干扰,并确定感知序列学习是否能隐性发生。50名参与者判断每个物体是以其原始形式还是镜像形式出现,并根据反馈逐渐提高表现。参与者不知道的是,这些物体的相继出现遵循一个概率序列。一个由8个常规块组成的训练阶段之后是一个测试阶段,在测试阶段,交替呈现5个随机块和5个常规块。还使用了一个强制选择识别测试来探究关于任务中特定转换的知识,以评估显性知识。我们的研究结果表明存在强大的感知序列学习效应,随机块中的反应时(RTs)比常规块中的反应时慢就表明了这一点。值得注意的是,具有较高可传递性的物体之间的转换(即物体在底层网格内的连接性指标)在常规块而非随机块中显示出较低的反应时。这表明我们任务中的感知序列学习可能依赖于应对期望违背的策略性认知过程。重要的是,我们的结果还表明,对底层结构的显性知识并未以任何方式影响感知序列学习,这表明学习是由隐性知识驱动的。

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