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可见性和流行率对视觉搜索的影响
Mathi Manavalan1,2,3, Vanessa G Lee1,4, Iris Vilares1,5,6
1Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
Journal of vision
|February 10, 2026
概括
人们经常错过患病率较低的目标,尤其是在可见度有限的情况下. 这项研究发现,虽然人们整合了目标流行率和感官信息,但他们的决策并非完全是贝叶斯式的.
科学领域:
- 认知心理学 认知心理学
- 决策科学 决策科学 决策科学
- 视觉感知 视觉感知 视觉感知
背景情况:
- 低患病率效应描述了当目标很少时错过目标的趋势.
- 现实世界的可见性往往是不完整的,由于封闭,引入感知不确定性.
- 贝叶斯决策理论为理解不确定性下的最佳决策提供了一个框架.
研究的目的:
- 调查目标流行和遮蔽如何影响视觉搜索决策.
- 检查人们在寻找部分可见性目标时是否遵守贝叶斯原则.
- 探索不同程度的闭塞和目标流行情况下的决策策略.
主要方法:
- 使用视觉搜索范式,使用部分遮蔽来模拟现实世界的可见性条件.
- 参与者对目标的存在或不存在做出了反应,目标患病率 (25%或50%) 和闭塞水平各不相同.
- 贝叶斯决策理论和计算模型被用来分析搜索决策.
主要成果:
- 当项目完全隐藏时,参与者学会了与目标流行率相匹配的概率.
- 有了部分可见性,参与者很少对封闭区域的目标做出"存在"的反应.
- 分析显示混合决策策略,表明偏离纯贝叶斯行为.
结论:
- 人们在视觉搜索过程中整合目标流行和感官信息,即使在闭塞下.
- 在视觉搜索与遮蔽中的决策不是严格的贝叶斯式.
- 该研究引入了一种新的方法,用于在部分可见性条件下研究视觉搜索.
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