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Taking Conjunction Search to a Higher Dimension

机译:将联合搜索带入更高的维度

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摘要

In visual search for conjunctions, targets are defined by combinations of features. Thus, targets might be RED VERTICAL items among RED horizontal and green VERTICAL distractors. Guided Search and similar models argue that features are conjoined only once an object is attended. However, efficient conjunction search is possible because observers can guide attention toward red and toward vertical. Real-world objects may be defined by the conjunction of many features, with no one feature defining the target. Can attention be guided to higher order conjunctions? We created 6D conjunction stimuli and varied the number of features shared between targets and distractors and the number of distractor types. RT x set size slopes range from 1.4 msec/item when two distractor types each share three features with the target to 66 msec/item when six distractor types each share five features with the target. Using different 3D conjunctions, we held distributions of features constant (1/3 of each of three colors, shapes, and orientations). We varied the grouping of distractors in order to look for evidence of simultaneous guidance by multiple attributes versus sequential grouping of subsets (Find the odd orientation in this color subset). We find that guidance and grouping may both contribute to efficient conjunction search.
机译:在视觉搜索连词中,目标是由特征的组合定义的。因此,目标可能是红色水平和绿色垂直分散器中的红色垂直项目。引导式搜索和类似的模型认为,只有在涉及对象时才将要素联合。但是,有效的连词搜索是可能的,因为观察者可以将注意力引向红色和垂直方向。现实世界中的对象可能是由许多要素共同定义的,没有一个要素定义目标。可以将注意力引导到更高阶的连词吗?我们创建了6D连词刺激,并改变了目标和干扰物之间共享的特征数量以及干扰物类型的数量。 RT x设置大小的斜率范围从两种类型的干扰物与目标共享三个特征时的1.4毫秒/项到六种类型的干扰物与目标共享五个特征时的66毫秒/项。使用不同的3D连词,我们使要素的分布保持恒定(三种颜色,形状和方向中的每一种的1/3)。为了寻找多个属性同时引导的证据,而不是子集的顺序分组,我们对干扰项的分组进行了分类(在此颜色子集中查找奇数方向)。我们发现指导和分组都可能有助于有效的连词搜索。

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