Literature DB >> 24638827

A conflict-based model of color categorical perception: evidence from a priming study.

Zhonghua Hu1, J Richard Hanley, Ruiling Zhang, Qiang Liu, Debi Roberson.   

Abstract

Categorical perception (CP) of color manifests as faster or more accurate discrimination of two shades of color that straddle a category boundary (e.g., one blue and one green) than of two shades from within the same category (e.g., two different shades of green), even when the differences between the pairs of colors are equated according to some objective metric. The results of two experiments provide new evidence for a conflict-based account of this effect, in which CP is caused by competition between visual and verbal/categorical codes on within-category trials. According to this view, conflict arises because the verbal code indicates that the two colors are the same, whereas the visual code indicates that they are different. In Experiment 1, two shades from the same color category were discriminated significantly faster when the previous trial also comprised a pair of within-category colors than when the previous trial comprised a pair from two different color categories. Under the former circumstances, the CP effect disappeared. According to the conflict-based model, response conflict between visual and categorical codes during discrimination of within-category pairs produced an adjustment of cognitive control that reduced the weight given to the categorical code relative to the visual code on the subsequent trial. Consequently, responses on within-category trials were facilitated, and CP effects were reduced. The effectiveness of this conflict-based account was evaluated in comparison with an alternative view that CP reflects temporary warping of perceptual space at the boundaries between color categories.

Entities:  

Mesh:

Year:  2014        PMID: 24638827     DOI: 10.3758/s13423-014-0603-8

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  34 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-04       Impact factor: 11.205

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  6 in total

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