Literature DB >> 26569337

Categorical perception for red and brown.

Christoph Witzel1, Karl R Gegenfurtner2.   

Abstract

Recent studies suggest that the widely accepted evidence in support of categorical perception of color may be a confound of effects due to low-level sensory mechanisms that are unrelated to color categories. To reveal genuine category effects, we investigated the category boundary least prone to spurious effects of low-level mechanisms: the boundary between red and brown. We tested for low-level sensory and high-level cognitive effects of categories on color discrimination, while carefully controlling potential factors of color vision that are not related to color categories. First, we established the red-brown boundary through a naming task and measured just-noticeable differences (JNDs) for colors across the boundary. If low-level sensitivity to color differences was categorical, JNDs should decrease toward the boundary. However, this was not the case. Second, we measured performance in terms of response times and error rates in a speeded discrimination task with color pairs that were equalized in discriminability based on the empirical JNDs. There was a boost of performance (lower response times and error rates) for identifying color differences in equally discriminable color pairs, when the colors crossed the boundary. Given the particularity of the red-brown boundary, these results prove that the observed effects were due to color categories rather than low-level visual mechanisms. These findings support the idea that category effects are due to a shift of attention to the linguistic distinction between categories, rather than being a pure product of perception. These category effects do not depend on the hemispheric lateralization of language. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Mesh:

Year:  2015        PMID: 26569337     DOI: 10.1037/xhp0000154

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  8 in total

1.  Tracking within-category colors is easier: Color categories modulate location processing in a dynamic visual task.

Authors:  Mengdan Sun; Luming Hu; Lingxia Fan; Xuemin Zhang
Journal:  Mem Cognit       Date:  2020-01

2.  No matter how: Top-down effects of verbal and semantic category knowledge on early visual perception.

Authors:  Martin Maier; Rasha Abdel Rahman
Journal:  Cogn Affect Behav Neurosci       Date:  2019-08       Impact factor: 3.282

3.  Dichotomous Perception of Animal Categories in Infancy.

Authors:  Hannah White; Rachel Jubran; Alyson Chroust; Alison Heck; Ramesh S Bhatt
Journal:  Vis cogn       Date:  2018-12-26

4.  Integrating unsupervised and reinforcement learning in human categorical perception: A computational model.

Authors:  Giovanni Granato; Emilio Cartoni; Federico Da Rold; Andrea Mattera; Gianluca Baldassarre
Journal:  PLoS One       Date:  2022-05-10       Impact factor: 3.752

5.  Numerical value biases sound localization.

Authors:  Edward J Golob; Jörg Lewald; Stephan Getzmann; Jeffrey R Mock
Journal:  Sci Rep       Date:  2017-12-08       Impact factor: 4.379

6.  Categorical colour geometry.

Authors:  Lewis D Griffin; Dimitris Mylonas
Journal:  PLoS One       Date:  2019-05-10       Impact factor: 3.240

7.  School-Aged Children Learn Novel Categories on the Basis of Distributional Information.

Authors:  Iris Broedelet; Paul Boersma; Judith Rispens
Journal:  Front Psychol       Date:  2022-01-24

8.  The subjective metric of remembered colors: A Fisher-information analysis of the geometry of human chromatic memory.

Authors:  María da Fonseca; Nicolás Vattuone; Federico Clavero; Rodrigo Echeveste; Inés Samengo
Journal:  PLoS One       Date:  2019-01-02       Impact factor: 3.240

  8 in total

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