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Behavioral Evidence for Differences in Social and Non-Social Category Learning

机译:社会和非社会类别学习差异的行为证据

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When meeting someone for the very first time one spontaneously categorizes the seen person on the basis of his/her appearance. Categorization is based on the association between some physical features and category labels that can be social (character trait…) or non-social (tall, thin). Surprisingly little is known about how such associations are formed, particularly in the social domain. Here, we aimed at testing whether social and non-social category learning may be dissociated. We presented subjects with a large number of faces that had to be rated according to social or non-social labels, and induced an association between a facial feature (inter-eye distance) and the category labels using two different procedures. In a first experiment, we used a feedback procedure to reinforce the association; behavioral measures revealed an association between the physical feature manipulated and abstract non-social categories, while no evidence for an association with social labels could be found. In a second experiment, we used passive exposure to the association between physical features and labels; we obtained behavioral evidence for learning of both social and non-social categories. These results support the view of the specificity of social category learning; they suggest that social categories are best acquired through unsupervised procedures that can be considered as a simplified proxy for group transmission.
机译:第一次见到某人时,人们会根据其外观自动将其分类。分类基于某些物理特征和类别标签之间的关联,这些标签可以是社会性(字符特征…)或非社会性(高瘦)。令人惊讶的是,人们对这种联系的形成方式知之甚少,尤其是在社会领域。在这里,我们旨在测试社交和非社交类别学习是否可以分离。我们为受试者提供了必须根据社交或非社交标签进行评级的大量面孔,并使用两种不同的方法在面部特征(眼间距离)和类别标签之间建立了关联。在第一个实验中,我们使用了反馈程序来加强关联。行为测量显示,被操纵的身体特征与抽象的非社会类别之间存在关联,而找不到与社会标签相关的证据。在第二个实验中,我们将被动曝光用于物理特征与标签之间的关联。我们获得了学习社会和非社会类别的行为证据。这些结果支持了社会类别学习的特殊性的观点。他们认为社交类别最好通过无监督的程序来获得,这些程序可以看作是群体传播的简化代理。

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