罗夏测验中视觉感知的隐藏规则

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Stanislav Matousek , Pavel Skobrtal , Radim Badosek
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引用次数: 0

摘要

尽管争议不断,罗夏墨迹测验仍然是从事人格评估的专业人士中最受欢迎的测试之一。本研究主要利用眼动追踪技术获取20名健康受试者在标准化视觉材料上的注视密度图,以深入了解标准罗夏墨迹测试期间的视觉注意分布模式。具体来说,我们的分析表明,凝视密度证实了我们的经验经验,并且在墨点对称的中轴线周围表现出相当大的对称性。此外,通常被解释为描绘人类或动物形象的墨迹表明,人类对“头部”和上部“躯干”区域的关注有所增加。这些假设都得到了显著性检验结果的支持,除了对称性假设,它表明相当大的但不完全的对称性。在当前认知研究的背景下解释这些发现,我们认为它们是控制自动感知和注意的进化根源系统的证据。这些发现可以增强心理学家对他们对罗夏测试反应的理解。它们还可能有助于开发更高效的系统,特别是在人工智能学习领域。这种关于视觉运动偏好中人类行为的近似知识也可以使其他学科受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hidden rules of visual perception in the Rorschach test
Despite the ongoing controversy, the Rorschach remains one of the most popular tests among professionals conducting personality assessments. The present study focuses on using eye tracking to obtain gaze density maps of 20 healthy participants on standardized visual material, offering insight into the patterns of visual attention distribution during the examination of standard Rorschach inkblots. Specifically, our analysis shows that gaze density confirms our empirical experience and exhibits considerable symmetry around the central axis of symmetry of the inkblots. In addition, inkblots commonly interpreted as depicting human or animal figures show increased human attention to the ‘head’ and upper ‘torso’ regions. These hypotheses are supported by the significance testing results, except the symmetry hypothesis, which suggests considerable but incomplete symmetry. Interpreting these findings in the context of current cognitive research, we consider them evidence for an evolutionarily rooted system governing automatic perception and attention. These findings could enhance psychologists’ understanding of their responses to the Rorschach test. They may also help in the development of more efficient systems, particularly in the field of artificial intelligence learning. This approximation of knowledge regarding human behavior in visuomotor preferences could also benefit other disciplines.
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来源期刊
Cognitive Systems Research
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
40
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.
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