汉字错觉

IF 2.4 3区心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Cognitive Systems Research Pub Date : 2025-09-07 DOI:10.1016/j.cogsys.2025.101391

Xiaochun Teng , Jun Yamada

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引用次数: 0

摘要

在方形错觉中，一个正方形看起来比它的宽度高，在亥姆霍兹错觉中，一个充满水平线的正方形看起来比它的宽度高，一个充满垂直线的正方形看起来比它的高度宽。当以汉语为母语的人试图估计汉字的高度和宽度时，也观察到类似的错觉模式。我们把这种错觉称为汉字错觉，它可以归因于书写汉字的想象的正方形，也可以归因于汉字的结构配置。我们简要地讨论了汉字错觉的特点，并进一步探讨了汉字错觉所涉及的有趣问题。

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The Chinese character illusion

In the square illusion, a square looks taller than it is wide, and in the Helmholtz illusion, a square filled with horizontal lines appears higher than it is wide and a square filled with vertical lines appears wider than it is high. A somewhat analogous pattern of illusion was observed when native Chinese speakers attempted to estimate heights and widths of Chinese characters. We call this illusion the Chinese character illusion, which can be attributable to an imaginary square in which to write characters and also to structural configurations of characters. We briefly discuss the characteristics of the Chinese character illusion and further interesting questions involved in this illusion.

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来源期刊

Cognitive Systems Research 工程技术-计算机：人工智能

CiteScore

9.40

自引率

5.10%

发文量

审稿时长

>12 weeks

期刊介绍： Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.