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首页> 外文期刊>Journal of vision >Object-based Implicit Learning in Visual Search: Perceptual Segmentation constrains Contextual Cueing
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Object-based Implicit Learning in Visual Search: Perceptual Segmentation constrains Contextual Cueing

机译:视觉搜索中基于对象的隐式学习:知觉分割约束上下文提示

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摘要

In visual search, detection of a target is faster when it is presented within a layout of nontarget items that is repeatedly encountered, indicating that contextual invariances can guide selective attention (contextual cueing; Chun & Jiang, Cogn. Psychol., 1998). However, perceptual regularities may interfere with contextual learning; for instance, there was no contextual facilitation when four nontarget items formed a global square-shaped grouping, even though the shape was predictive of the target location (Conci & von M??hlenen, Atten. Percept. Psychophys., 2009). Here, we extend our previous findings by showing that contextual cueing can reliably occur for targets located within the region of a globally segmented object, but not for targets presented outside of the objecta??s boundaries. Four experiments demonstrate an object benefit in contextual cueing, with a modulation of context-based learning by relatively subtle grouping cues including closure, symmetry, and spatial regularity. Moreover, the lack of contextual cueing for targets located outside of the segmented region was due to an absence of (latent) learning of contextual layouts, rather than to attention being biased towards memory-based retrieval of only the item layout in the area defined by the grouped region. Taken together, these results indicate that perceptual segmentation provides a basic structuring within which contextual scene regularities can be acquired. This in turn argues that contextual learning is fundamentally constrained by object-based selection.
机译:在视觉搜索中,当目标出现在反复遇到的非目标项目的布局中时,对目标的检测会更快,这表明上下文不变性可以指导选择性注意(上下文提示; Chun&Jiang,Cogn。Psychol。,1998)。但是,知觉规律性可能会干扰情境学习。例如,当四个非目标项目形成一个整体的方形分组时,即使上下文形状可以预测目标位置,也没有语境上的促进(Conci&von M?hlenen,Atten。Percept。Psychophys。,2009)。在这里,我们通过显示上下文提示可以可靠地发生在位于全局分割对象区域内的目标,而不是出现在对象边界之外的目标,来扩展先前的发现。四个实验证明了对象提示在上下文提示中的好处,通过相对微妙的分组提示(包括闭合,对称和空间规则性)对基于上下文的学习进行了调制。此外,缺乏对位于分割区域外部的目标的上下文提示是由于缺乏对上下文布局的(潜在)学习,而不是由于注意力偏向于仅基于内存检索由定义的区域中的项目布局分组区域。两者合计,这些结果表明,感知分割提供了一种基本的结构,可以在其中获取上下文场景的规律性。这反过来又说明,上下文学习从根本上受到基于对象的选择的限制。

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