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视觉定向辨别能力与人类智力的某些特定方面密切相关。

Visual orientation discrimination skills are tightly linked with specific aspects of human intelligence.

机构信息

Department of Psychology, University of Cyprus, Nicosia, Cyprus.

Department of Management, University of Limassol, Limassol, Cyprus.

出版信息

PLoS One. 2023 Oct 17;18(10):e0289590. doi: 10.1371/journal.pone.0289590. eCollection 2023.

DOI:10.1371/journal.pone.0289590
PMID:37847685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10581472/
Abstract

We investigate the notion that basic visual information is acting as a building block for more complex cognitive processes in humans. Specifically, we measured individual visual orientation discrimination thresholds to report significant correlations against the total standardised intelligence quotient (IQ), verbal-IQ and non-verbal IQ scores evaluated using the Wechsler Abbreviated Scale of Intelligence Second Edition (WASI-II) test battery comprising Verbal Reasoning, Block Design, Similarities and Matrix Reasoning subtests (N = 92). A multiple linear regression analysis showed that participants' performance in our visual discrimination task, could be explained only by individual scores in Verbal Reasoning which quantifies the ability to comprehend and describe words and Matrix Reasoning, which evaluates general visual processing skills including abstract and spatial perception. Our results demonstrate that low-level visual abilities and high-level cognitive processes are more tightly interwoven together than previously thought and this result could pave the way for further research on how cognition can be defined by basic sensory processes.

摘要

我们研究了这样一种观点,即基本的视觉信息是人类更复杂认知过程的构建块。具体来说,我们测量了个体的视觉方向辨别阈值,以报告与使用韦氏智力测验量表第二版(WASI-II)测试套件(包括言语推理、积木设计、相似性和矩阵推理子测验)评估的总标准化智商(IQ)、言语智商和非言语智商得分之间的显著相关性(N=92)。多元线性回归分析表明,参与者在我们的视觉辨别任务中的表现只能通过言语推理的个体得分来解释,言语推理可以衡量理解和描述单词的能力,而矩阵推理则评估包括抽象和空间感知在内的一般视觉处理技能。我们的结果表明,低水平的视觉能力和高水平的认知过程比以前认为的更加紧密地交织在一起,这一结果可能为进一步研究认知如何通过基本的感觉过程来定义铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/10581472/e63301adfadc/pone.0289590.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/10581472/7433158da82e/pone.0289590.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/10581472/e63301adfadc/pone.0289590.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/10581472/7433158da82e/pone.0289590.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdd7/10581472/e63301adfadc/pone.0289590.g002.jpg

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PLoS One. 2024 Feb 14;19(2):e0299165. doi: 10.1371/journal.pone.0299165. eCollection 2024.

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