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Topological Relations Between Objects Are CategoricallyCoded

机译:对象之间的拓扑关系按类别分类已编码

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摘要

How do individuals compare images—for example, two graphs or diagrams—to identify differences between them? We argue that categorical relations between objects play a critical role. These relations divide continuous space into discrete categories, such as “above” and “below,” or “containing” and “overlapping,” which are remembered and compared more easily than precise metric values. These relations should lead to categorical perception, such that viewers find it easier to notice a change that crosses a category boundary (one object is now above, rather than below, another, or now contains, rather than overlaps with, another) than a change of equal magnitude that does not cross a boundary. We tested the influence of a set of topological categorical relations from the cognitive-modeling literature. In a visual same/different comparison task, viewers more accurately noticed changes that crossed relational category boundaries, compared with changes that did not cross these boundaries. The results highlight the potential of systematic exploration of the boundaries of between-object relational categories.
机译:个人如何比较图像(例如,两个图形或图表)以识别它们之间的差异?我们认为对象之间的分类关系起着至关重要的作用。这些关系将连续空间分为离散的类别,例如“上”,“下”或“包含”和“重叠”,与精确的度量值相比,它们更容易记住和比较。这些关系应该导致分类感知,从而使观众发现更容易注意到跨越类别边界的更改(一个对象现在在另一个对象的上方,而不是下方,另一个对象,或者现在包含另一个对象,而不是与另一个对象重叠)。大小相等,不跨越边界。我们从认知建模文献中测试了一组拓扑分类关系的影响。在视觉上相同/不同的比较任务中,与未跨越关系类别边界的更改相比,查看者更准确地注意到了跨越关系类别边界的更改。结果突出了系统探索对象间关系类别边界的潜力。

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