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Number estimation relies on a set of segmented objects

机译:数量估计依赖于一组细分对象

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How do we estimate the number of objects in a set? Two types of visual representations might underlie this ability – an unsegmented visual image or a segmented collection of discrete objects. We manipulated whether individual objects were isolated from each other or grouped into pairs by irrelevant lines. If number estimation operates over an unsegmented image, then this manipulation should not affect estimates. But if number estimation relies on a segmented image, then grouping pairs of objects into single units should lead to lower estimates. In Experiment 1 participants underestimated the number of grouped objects, relative to disconnected objects in which the connecting lines were ‘broken’. Experiment 2 presents evidence that this segmentation process occurred broadly across the entire set of objects. In Experiment 3, a staircase procedure provides a quantitative measure of the underestimation effect. Experiment 4 shows that the strength of the grouping effect was equally strong for a single thin line, and the effect can be eliminated by a small break in the line. These results provide direct evidence that number estimation relies on a segmented input.
机译:我们如何估算一组对象的数量?此功能可能基于两种类型的视觉表示形式–未分段的视觉图像或分段的离散对象集合。我们操纵单个对象是彼此隔离还是通过不相关的线成对分组。如果数量估计在未分割的图像上进行,则此操作不应影响估计。但是,如果数字估计依赖于分割的图像,则将成对的对象分组为单个单元应该导致较低的估计。在实验1中,参与者低估了分组对象的数量,相对于连接线“断开”的断开对象。实验2证明了这种分割过程是在整个对象集合中广泛发生的。在实验3中,阶梯法提供了低估效果的定量度量。实验4表明,对于单个细线,分组效果的强度同样强,并且可以通过在线中稍作中断来消除这种效果。这些结果提供了直接的证据,证明数字估计依赖于分段输入。

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