简短类别学习扭曲了复杂场景的感知空间.
Gaeun Son1, Dirk B Walther2, Michael L Mack2
1Department of Psychology, University of Toronto, Toronto, Ontario, Canada. gaeun.son@mail.utoronto.ca.
Psychonomic bulletin & review
|March 4, 2024
概括
学习新的类别会扭曲我们对复杂场景的看法. 即使是简短的培训也会改变我们记忆和重建现实世界的视觉信息的方式,以适应新的类别结构.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 计算机视觉 计算机视觉
背景情况:
- 众所周知,类别形成会扭曲感知空间,影响我们如何表示和回忆信息.
- 以前的研究集中在人工物体上,由于测量挑战,复杂的现实场景的扭曲在很大程度上未被探索.
研究的目的:
- 调查类别学习如何在复杂的现实世界场景感知中诱导感知扭曲.
- 探索任意类别界限对场景记忆重建的影响.
主要方法:
- 从一个高维连续空间使用生成对抗网络 (GAN) 生成现实的场景图像.
- 采用了一个新的学习任务,参与者将这些场景图像分类.
- 通过让参与者在分类训练后回忆起场景来评估记忆重建偏差.
主要成果:
- 在场景重建错误中观察到有系统的偏见.
- 重建错误与参与者的主观类别界限密切相关.
- 全球场景属性的感知被新学到的类别结构显著扭曲.
结论:
- 类别诱导的感知扭曲发生在简短的学习后,即使是复杂的,现实世界的场景.
- 大脑适应全球场景的感知,使其与学习的分类结构保持一致.
- 这突显了人类感知在组织复杂的视觉信息中的动态和适应性.
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