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Categorical Bias in Line Angle Judgments: Sex Differences and the Use of Multiple Categories

机译:线角判断的偏见:性别差异和多个类别的使用

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摘要

According to the Category Adjustment (CA) model, spatial estimates (e.g., of location) involve Bayesian combination across multiple, hierarchical pieces information, each weighted by its relative certainty. Recent work, though, has shown that men and women differ in terms of their certainty regarding fine-grained and categorical information in location memory. Here we demonstrate that this reflects a more general sex difference in visuospatial processing by examining bias patterns in a line angle judgment task (JLAP-15). In addition, the data suggest that multiple, hierarchical levels of categorical information influenced spatial judgments. These results imply that the hierarchical combination outlined by the CA model extends beyond two levels, and that men and women apply differential weighting to these representations.
机译:根据类别调整(CA)模型,空间估计(例如位置)涉及跨多个层次信息的贝叶斯组合,每个信息均由其相对确定性加权。但是,最近的工作表明,男人和女人在位置记忆中细粒度和分类信息的确定性方面有所不同。在这里,我们通过检查线角判断任务(JLAP-15)中的偏差模式,证明了这在视觉空间处理中反映了更普遍的性别差异。此外,数据表明分类信息的多个层次级别影响了空间判断。这些结果表明,CA模型概述的层次组合超出了两个级别,并且男人和女人对这些表示应用了不同的权重。

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