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突出的分心因素影响信息积累,而不是在视觉搜索中退出值

Mark W Becker¹, Jeff Moher², Derrek T Montalvo³

¹Department of Psychology, Michigan State University, East Lansing, MI, 48824, USA. Becker54@msu.edu.

Attention, perception & psychophysics

|June 16, 2025

概括

在视觉搜索中添加突出干扰器 (SD) 可以通过增加错误来降低性能. 然而,效果取决于分心器是否与目标或其他分心器共享特征.

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

背景情况:

以前的研究表明,在视觉搜索中突出的分心因素 (SDs) 会增加错误并加快缺失目标的响应,这表明戒烟门降低了.
然而,这些研究使用了分散器,与频繁分散器共享特征.

研究的目的:

调查突出的分心因子如何影响视觉搜索性能,当它们的特征与目标或分心因子重叠时.
为观察到的效应提出漂移扩散模型解释.

主要方法:

使用具有突出的分心因素的视觉搜索任务进行了两项实验.
突出的干扰器,目标和其他干扰器之间的特征重叠被操纵.

主要成果:

当SD不与频繁的分心器共享功能时,增加失误和更快的目标缺席时间的模式仍然存在.
当SD与目标共享特征时,这种模式发生了逆转.
结果与漂移扩散模型一致,其中SDs提供了快速的证据积累.

结论:

突出的干扰因素对视觉搜索的影响是微妙的,取决于特征关系.
一个漂移扩散框架为SD效应提供了一个比退出值模型更节的解释.
这个帐户更好地预测什么时候突出的干扰因素会阻碍或帮助目标检测.

关键词:

漂流扩散模型的模型戒烟门效应戒烟门效应视觉搜索视觉搜索视觉搜索

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