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Individual Differences in Ensemble Perception Reveal Multiple, Independent Levels of Ensemble Representation

机译:集合体感知中的个体差异揭示了集合体表示的多个独立水平

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Ensemble perception, including the ability to "see the average" from a group of items, operates in numerous feature domains (size, orientation, speed, facial expression, etc.). Although the ubiquity of ensemble representations is well established, the large-scale cognitive architecture of this process remains poorly defined. We address this using an individual differences approach. In a series of experiments, observers saw groups of objects and reported either a single item from the group or the average of the entire group. High-level ensemble representations (e.g., average facial expression) showed complete independence from low-level ensemble representations (e.g., average orientation). In contrast, low-level ensemble representations (e.g., orientation and color) were correlated with each other, but not with high-level ensemble representations (e.g., facial expression and person identity). These results suggest that there is not a single domain-general ensemble mechanism, and that the relationship among various ensemble representations depends on how proximal they are in representational space.
机译:集合感知(包括从一组项目中“看到平均值”的能力)在众多特征域(大小,方向,速度,面部表情等)中运行。尽管已经很好地确定了集合表示的普遍性,但是该过程的大规模认知体系仍然定义不清。我们使用个人差异方法解决此问题。在一系列实验中,观察者看到了对象组,并报告了该组中的单个项目或整个组的平均值。高层次的合奏表示(例如,平均面部表情)显示出与低层次的合奏表示(例如,平均取向)完全独立。相反,低水平的整体表示(例如,方向和颜色)彼此相关,但是不与高水平的整体表示(例如,面部表情和人的身份)相关。这些结果表明,不存在单一的领域-总体集成机制,并且各种集成表示之间的关系取决于它们在表示空间中的接近程度。

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