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Efficient visual search without top-down or bottom-up guidance

机译:高效的视觉搜索,无需自上而下或自下而上的指导

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摘要

Two types of mechanisms have dominated theoretical accounts of efficient visual search. The first are bottom-up processes related to the characteristics of retinotopic feature maps. The second are top-down mechanisms related to feature selection. To expose the potential involvement of other mechanisms, we introduce a new search paradigm whereby a target is defined only in a context-dependent manner by multiple conjunctions of feature dimensions. Because targets in a multiconjunction task cannot be distinguished from distractors either by bottom-up guidance or top-down guidance, current theories of visual search predict inefficient search. While inefficient search does occur for the multiple conjunctions of orientation with color or luminance, we find efficient search for multiple conjunctions of luminance/size, luminance/shape, and luminance/topology. We also show that repeated presentations of either targets or a set of distractors result in much faster performance and that bottom-up feature extraction and top-down selection cannot account for efficient search on their own. In light of this, we discuss the possible role of perceptual organization in visual search. Furthermore, multi-conjunction search could provide a new method for investigating perceptual grouping in visual search.
机译:两种类型的机制主导了有效视觉搜索的理论解释。首先是与视网膜局部特征图的特征有关的自下而上的过程。第二种是与特征选择有关的自上而下的机制。为了揭示其他机制的潜在参与,我们引入了一种新的搜索范式,其中,目标仅通过上下文依赖的特征维度的多个连接来定义。由于无法通过自下而上的指导或自上而下的指导来将多连接任务中的目标与干扰因素区分开,因此当前的视觉搜索理论预测搜索效率低下。虽然针对颜色或亮度的多个方向的连接确实发生了效率低下的搜索,但我们发现亮度/尺寸,亮度/形状和亮度/拓扑的多个方向的有效搜索。我们还显示,重复演示目标或一组干扰项会导致更快的性能,并且自下而上的特征提取和自上而下的选择无法自行解决有效的搜索问题。有鉴于此,我们讨论了感知组织在视觉搜索中的可能作用。此外,多连接搜索可以为研究视觉搜索中的感知分组提供一种新方法。

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