显性知识与主观评价在程序性知觉运动学习中的作用。

IF 2.6 3区 医学 Q2 BEHAVIORAL SCIENCES
Frontiers in Behavioral Neuroscience Pub Date : 2025-04-04 eCollection Date: 2025-01-01 DOI:10.3389/fnbeh.2025.1567905
Sarah Seiwert, Elodie Martin, Yannick Lagarrigue, David Amarantini, Lilian Fautrelle, Joseph Tisseyre, Jessica Tallet
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引用次数: 0

摘要

程序感知运动学习(PPML)能够获得新的运动程序,是广泛的人类行为的基础。虽然传统的研究主要集中在任务相关的特征上,但人们越来越关注个体因素来解释PPML的个体间差异。本研究旨在探讨与学习者策略和心态相关的两个个体因素的作用:(a)对任务特征和规律的显性认识;(b)对任务和表现的主观评价。我们假设(a)报告任务显性知识的参与者比没有报告的参与者表现出更高的PPML分数,以及(b) PPML分数与主观评价有关。方法:邀请参与者练习两种类型的PPML任务:用序列反应时间任务(SRTT)评估运动序列学习(实验1)和用目标跳跃任务(TJT)评估视觉运动适应(实验2)。每次任务结束后,他们被要求回答学习后的问题,内容涉及(a)他们对任务规则的明确了解,(b)他们的主观评价,包括感知到的压力水平、疲劳程度、动机、注意力和感知到的进步程度。结果:实验1显示外显知识的被试表现出更高的学习分数,这与感知压力和进步有关。在实验2中,报告外显知识的参与者表现出较低的学习分数,这与感知压力、疲劳、注意力和进步有关。讨论:本研究通过考虑显性知识和主观评价在两种类型的PPML任务中的作用,为PPML的个体间差异提供了一个新颖而全面的视角。虽然进一步的复制和推广是必要的,但这些发现为学习者-任务互动如何解释个体间差异提供了有价值的见解,并强调了考虑参与者主观报告研究对未来PPML研究的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implication of explicit knowledge and subjective evaluation in procedural perceptual-motor learning.

Introduction: Procedural Perceptual-Motor Learning (PPML) enables the acquisition of new motor procedures and is fundamental for a wide range of human behaviors. While traditional research has focused on task-related characteristics, there is growing interest in individual factors to account for inter-individual differences in PPML. This study aims to investigate the roles of two individual factors related to learners' strategies and mindsets: (a) explicit knowledge of the task's characteristics and regularities and (b) subjective evaluation of the task and performance. We hypothesized that (a) participants reporting explicit knowledge of the task would exhibit higher PPML scores compared to those who did not, and (b) PPML scores would be related to subjective evaluation.

Methods: Participants were invited to practice two types of PPML tasks: motor sequence learning assessed by a Serial Reaction Time Task (SRTT) (Experiment 1) and visuomotor adaptation assessed by a Target Jumping Task (TJT) (Experiment 2). After each task, they were asked to answer post-learning questions about (a) their explicit knowledge of the task's rules and (b) their subjective evaluations, including perceived levels of stress, tiredness, motivation, attention, and perceived progress.

Results: The findings of Experiment 1 revealed that participants reporting explicit knowledge of the SRTT exhibited higher learning scores, which were related to perceived stress and progress. In Experiment 2, participants reporting explicit knowledge of the TJT exhibited lower learning scores, which were related to perceived stress, tiredness, concentration, and progress.

Discussion: This study offers a novel and comprehensive perspective on inter-individual differences in PPML by considering the roles of explicit knowledge and subjective evaluations in two types of PPML tasks. Although further replication and generalization are necessary, the findings provide valuable insights into how learner-task interactions may explain inter-individual differences and highlight the importance of considering participants' subjective reports research for future studies on PPML.

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来源期刊
Frontiers in Behavioral Neuroscience
Frontiers in Behavioral Neuroscience BEHAVIORAL SCIENCES-NEUROSCIENCES
CiteScore
4.70
自引率
3.30%
发文量
506
审稿时长
6-12 weeks
期刊介绍: Frontiers in Behavioral Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the neural mechanisms underlying behavior. Field Chief Editor Nuno Sousa at the Instituto de Pesquisa em Ciências da Vida e da Saúde (ICVS) is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. This journal publishes major insights into the neural mechanisms of animal and human behavior, and welcomes articles studying the interplay between behavior and its neurobiological basis at all levels: from molecular biology and genetics, to morphological, biochemical, neurochemical, electrophysiological, neuroendocrine, pharmacological, and neuroimaging studies.
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