在个体差异中定位结构:视觉幻觉案例研究
Mahbod Mehrvarz1, Hrithik Popat2, Jeffrey N Rouder2
1Department of Cognitive Sciences, University of California, Irvine, CA, 92697, USA. mehrvarm@uci.edu.
Attention, perception & psychophysics
|November 26, 2025
概括
易受某种视觉错觉影响的人不一定易受其他视觉错觉影响. 虽然直接相关性很低,但一个共同的潜在因素影响了不同幻想的易感性.
科学领域:
- 认知心理学 认知心理学
- 视觉感知 视觉感知 视觉感知
- 心理物理学的精神物理.
背景情况:
- 以前的研究表明,对不同视觉错觉的易感性存在微弱的相关性.
- 这些低相关性反映真实关系与测量误差的程度尚不清楚.
研究的目的:
- 研究不同视觉错觉的易感性之间的关系.
- 评估测量误差对观察到的相关性的影响.
- 为了确定潜在的共同因素背后的幻觉易感性.
主要方法:
- 收集了来自149名参与者在使用调整范式的五种视觉错觉的两个变体上的数据.
- 开发了新的数据可视化和层次模型来评估测量错误.
- 采用贝叶斯的层次分析和潜变量分析.
主要成果:
- 证明了低试验噪声和高可靠性 (≈0.93),具有强大的不同对象的可变性.
- 在不同的幻觉易感性中观察到较低的相关性 (≈0.22 ± 0.07).
- 潜变量分析发现了一个共同因素解释了23.3%的幻觉易感度差异,测量误差的减弱最小.
结论:
- 对一种视觉错觉的敏感性并不能强烈预测对其他视觉错觉的敏感性.
- 一个共同的潜伏因素有助于在各种幻觉中对敏感性的个体差异.
- 测量误差最小地减轻了观察到的幻觉易感性之间的低相关性.
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