在视觉搜索中转移统计规律性.
Gabriel Siegel1,2, Richard A Abrams3
1Department of Philosophy and Philosophy-Neuroscience-Psychology, Washington University in St. Louis, St. Louis, MO, USA.
Attention, perception & psychophysics
|July 9, 2025
概括
统计学学习引导注意力对可能的物体位置. 这项研究表明,这些规律是基于上下文的,而不是严格以对象为中心的,并且通过新的对象形状来减少转移.
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.
- 视觉感知 视觉感知 视觉感知
背景情况:
- 人类利用视觉场景中的统计规律来引导注意力.
- 之前的研究表明,以对象为中心的统计学习,注意力偏向于特定的对象部分.
研究的目的:
- 调查在视觉场景中学到的统计规律是否真正以对象为中心.
- 探索注意力优先事项所代表的参考框架.
主要方法:
- 参与者学习了关于场景中可能的目标位置的统计规律.
- 学习规律的转移在新的空间位置和新型物体形状中进行了测试.
主要成果:
- 统计规律被转移到新的空间位置,即使没有明确的对象.
- 在对具有新形状的物体进行测试时,转移显著减少.
结论:
- 注意重点被编码在基于配置的参考框架中,对场景上下文敏感.
- 这些发现挑战了统计学学习和注意力指导的纯物体中心模型.
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