Exaggeration of Stimulus Attributes in the Representation of Relational Categories
- Du, A. Y., Hummel, J. E., & Petrov, A. A. (2022)
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Exaggeration of stimulus attributes in the representation of relational categories.
In J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.),
Proceedings of the 44th Conference of the Cognitive Science Society
(pp. 3333-3338). Toronto, Canada.
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Abstract:
We investigated whether the representation of relational categories is different from that of featural categories. Earlier work has suggested an extreme-value hypothesis: when a category is defined in terms of a relation, exemplars with exaggerated values along this stimulus dimension are judged as better members of the category. Featural categories, on the other hand, are not exaggerated. To test this hypothesis, we trained participants to categorize two fictional diseases defined either by a deterministic relation or a deterministic feature. After the categorization task was mastered up to a predefined learning criterion, we provided a graphical user interface that enabled participants to construct good examples of the acquired categories by adjusting the stimulus attributes. We constructed a novel index of relational exaggeration based on residual deviations from a non-exaggerated response strategy. These results supported the extreme-value hypothesis. This replicates and extends an earlier quasi-experimental study (Du, Hummel, & Petrov, 2021).
Keywords: category learning, relations, typicality, extreme-value hypothesis
