Going to extremes: the influence of unsupervised categories on the mental caricaturization of faces and asymmetries in perceptual discrimination

Date

2012

Authors

Hendrickson, A.
Carvalho, P.
Goldstone, R.

Editors

Miyake, N.
Peebles, D.
Cooper, R.

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Conference paper

Citation

Proceedings of the 34th Annual Meeting of the Cognitive Science Society: Building bridges across cognitive sciences aournd the world, 2012 / Miyake, N., Peebles, D., Cooper, R. (ed./s), pp.1662-1667

Statement of Responsibility

Andrew T. Hendrickson, Paulo F. Carvalho, Robert L. Goldstone

Conference Name

The 34th Annual Meeting of the Cognitive Science Society (CogSci 2012) (1 Aug 2012 - 4 Aug 2012 : Sapporo, Japan)

Abstract

Recent re-analysis of traditional Categorical Perception (CP) effects show that the advantage for between category judgments may be due to asymmetries of within-category judgments (Hanley & Roberson, 2011). This has led to the hypothesis that labels cause CP effects via these asymmetries due to category label uncertainty near the category boundary. In Experiment 1 we demonstrate that these “within-category” asymmetries exist before category training begins. Category learning does increase the within-category asymmetry on a category relevant dimension but equally on an irrelevant dimension. Experiment 2 replicates the asymmetry found in Experiment 1 without training and shows that it does not increase with additional exposure in the absence of category training. We conclude that the within-category asymmetry may be a result of unsupervised learning of stimulus clusters that emphasize extreme instances and that category training increases this caricaturization of stimulus representations.

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