Category labels versus feature labels: Category labels polarize inferential predictions
نویسندگان
چکیده
منابع مشابه
Category labels versus feature labels: category labels polarize inferential predictions.
What makes category labels different from feature labels in predictive inference? This study suggests that category labels tend to make inductive reasoning polarized and homogeneous. In two experiments, participants were shown two schematic pictures of insects side by side and predicted the value of a hidden feature of one insect on the basis of the other insect. Arbitrary verbal labels were sh...
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When two objects carry the same category label, we tend to perceive that these objects are similar. When two objects carry different category labels, we perceive that these objects are dissimilar. How does this happen? In an attempt to clarify the effect of category labels on similarity judgments, pictures of animal tissues were presented with fictitious labels and participants judged the simil...
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Two main uses of categories are classification and feature inference, and category labels have been widely shown to play a dominant role in feature inference. However, the nature of this influence remains unclear, and we evaluate two contrasting hypotheses formalized as mathematical models: the label special-mechanism hypothesis and the label super-salience hypothesis. The special-mechanism hyp...
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When objects carry the same or different label(s), our perception of the similarity of the objects changes. How does this happen? In two experiments, pictures of animal tissues were presented with fictitious labels and participants judged the similarity of the pictures. The perceived similarity increased when the fictitious labels highlight the interrelatedness of features; this effect of label...
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ژورنال
عنوان ژورنال: Memory & Cognition
سال: 2008
ISSN: 0090-502X,1532-5946
DOI: 10.3758/mc.36.3.544