Individual differences in absolute identification as a function of autistic trait levels.

IF 1.7 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL
Cognitive Processing Pub Date : 2024-02-01 Epub Date: 2023-11-02 DOI:10.1007/s10339-023-01166-w
Seyed Mohammad Mahdi Moshirian Farahi, Craig Leth-Steensen
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引用次数: 0

Abstract

The present study aimed to examine the links between a self-report measure known to be discriminative of autism (the AQ-10) and performance on the classic unidimensional absolute identification judgment task with 10 line lengths. The interest in this task is due to the fact that discriminating absolutely between such items is quite perceptually challenging and also that it is not very amenable to generalization. Importantly, there are two currently available views of perceptual learning in autism that suggest that those higher on the autism spectrum might have an advantage on this task. Results showed, however, that for N = 291 typically developing individuals, higher scores on the AQ-10 (and also on a measure of the degree to which individuals self-report having a more spontaneous, activist-type learning style) tended to relate to lower levels of accuracy on this task in contrast to what was expected. One explanation furthered for this result was that those with higher AQ-10 scores may have had more difficulties maintaining the overall stimulus context in memory. Such work adds greatly to knowledge of the nature of the individual differences that can affect performance on this particular task.

Abstract Image

作为自闭症特征水平函数的绝对识别的个体差异。
本研究旨在检验已知具有自闭症判别力的自我报告量表(AQ-10)与10条线长度的经典一维绝对识别判断任务的表现之间的联系。对这项任务的兴趣是因为在这类项目之间进行绝对的区分在感知上是非常具有挑战性的,而且它不太容易概括。重要的是,目前有两种关于自闭症感知学习的观点表明,自闭症谱系较高的人可能在这项任务中具有优势。然而,结果表明,对于N = 291个典型的发展中的个体,AQ-10(以及个体自我报告具有更自发、积极型学习风格的程度)的得分越高,与预期相比,这项任务的准确性越低。对这一结果的一种进一步解释是,AQ-10分数较高的人可能更难在记忆中维持整体刺激环境。这样的工作极大地增加了对个体差异性质的了解,这些差异可能会影响这项特定任务的表现。
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来源期刊
Cognitive Processing
Cognitive Processing PSYCHOLOGY, EXPERIMENTAL-
CiteScore
3.10
自引率
5.90%
发文量
44
期刊介绍: Cognitive Processing - International Quarterly of Cognitive Science is a peer-reviewed international journal that publishes innovative contributions in the multidisciplinary field of cognitive science.  Its main purpose is to stimulate research and scientific interaction through communication between specialists in different fields on topics of common interest and to promote an interdisciplinary understanding of the diverse topics in contemporary cognitive science. Cognitive Processing is articulated in the following sections:Cognitive DevelopmentCognitive Models of Risk and Decision MakingCognitive NeuroscienceCognitive PsychologyComputational Cognitive SciencesPhilosophy of MindNeuroimaging and Electrophysiological MethodsPsycholinguistics and Computational linguisticsQuantitative Psychology and Formal Theories in Cognitive ScienceSocial Cognition and Cognitive Science of Culture
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