Literature DB >> 20713637

Color channels, not color appearance or color categories, guide visual search for desaturated color targets.

Delwin T Lindsey1, Angela M Brown, Ester Reijnen, Anina N Rich, Yoana I Kuzmova, Jeremy M Wolfe.   

Abstract

In this article, we report that in visual search, desaturated reddish targets are much easier to find than other desaturated targets, even when perceptual differences between targets and distractors are carefully equated. Observers searched for desaturated targets among mixtures of white and saturated distractors. Reaction times were hundreds of milliseconds faster for the most effective (reddish) targets than for the least effective (purplish) targets. The advantage for desaturated reds did not reflect an advantage for the lexical category "pink," because reaction times did not follow named color categories. Many pink stimuli were not found quickly, and many quickly found stimuli were not labeled "pink." Other possible explanations (e.g., linear-separability effects) also failed. Instead, we propose that guidance of visual search for desaturated colors is based on a combination of low-level color-opponent signals that is different from the combinations that produce perceived color. We speculate that this guidance might reflect a specialization for human skin.

Entities:  

Mesh:

Year:  2010        PMID: 20713637      PMCID: PMC3050514          DOI: 10.1177/0956797610379861

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  24 in total

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Authors:  L Itti; C Koch
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  Salience from feature contrast: additivity across dimensions.

Authors:  H Nothdurft
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

3.  Interactions between achromatic and chromatic mechanisms in visual search.

Authors:  A L Nagy
Journal:  Vision Res       Date:  1999-09       Impact factor: 1.886

4.  Search asymmetries? What search asymmetries?

Authors:  R Rosenholtz
Journal:  Percept Psychophys       Date:  2001-04

5.  Color category influences heterogeneous visual search for color.

Authors:  Kenji Yokoi; Keiji Uchikawa
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2005-11       Impact factor: 2.129

6.  Color mechanisms used in selecting stimuli for attention and making discriminations.

Authors:  Allen L Nagy; Kelly E Neriani; Travis L Young
Journal:  Vis Neurosci       Date:  2004 May-Jun       Impact factor: 3.241

Review 7.  Bare skin, blood and the evolution of primate colour vision.

Authors:  Mark A Changizi; Qiong Zhang; Shinsuke Shimojo
Journal:  Biol Lett       Date:  2006-06-22       Impact factor: 3.703

8.  Russian blues reveal effects of language on color discrimination.

Authors:  Jonathan Winawer; Nathan Witthoft; Michael C Frank; Lisa Wu; Alex R Wade; Lera Boroditsky
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-30       Impact factor: 11.205

9.  Measurement of color for craniofacial structures using a 45/0-degree optical configuration.

Authors:  David J Gozalo-Diaz; Delwin T Lindsey; William M Johnston; Alvin G Wee
Journal:  J Prosthet Dent       Date:  2007-01       Impact factor: 3.426

10.  No previews are good news: using preview search to probe categorical grouping for orientation.

Authors:  John P Hodsoll; Glyn W Humphreys
Journal:  Vision Res       Date:  2007-04-12       Impact factor: 1.886

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  33 in total

1.  Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions.

Authors:  Eric A Reavis; Sebastian M Frank; Peter U Tse
Journal:  Atten Percept Psychophys       Date:  2018-07       Impact factor: 2.199

2.  Color preferences in infants and adults are different.

Authors:  Chloe Taylor; Karen Schloss; Stephen E Palmer; Anna Franklin
Journal:  Psychon Bull Rev       Date:  2013-10

3.  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

4.  Color names, color categories, and color-cued visual search: sometimes, color perception is not categorical.

Authors:  Angela M Brown; Delwin T Lindsey; Kevin M Guckes
Journal:  J Vis       Date:  2011-10-06       Impact factor: 2.240

5.  Another look at category effects on colour perception and their left hemispheric lateralisation: no evidence from a colour identification task.

Authors:  Takashi Suegami; Samira Aminihajibashi; Bruno Laeng
Journal:  Cogn Process       Date:  2014-01-16

6.  Hue distinctiveness overrides category in determining performance in multiple object tracking.

Authors:  Mengdan Sun; Xuemin Zhang; Lingxia Fan; Luming Hu
Journal:  Atten Percept Psychophys       Date:  2018-02       Impact factor: 2.199

7.  Finding faces among faces: human faces are located more quickly and accurately than other primate and mammal faces.

Authors:  Elizabeth A Simpson; Zachary Buchin; Katie Werner; Rey Worrell; Krisztina V Jakobsen
Journal:  Atten Percept Psychophys       Date:  2014-11       Impact factor: 2.199

Review 8.  What is a preattentive feature?

Authors:  Jeremy M Wolfe; Igor S Utochkin
Journal:  Curr Opin Psychol       Date:  2018-11-13

Review 9.  Visual search in scenes involves selective and nonselective pathways.

Authors:  Jeremy M Wolfe; Melissa L-H Võ; Karla K Evans; Michelle R Greene
Journal:  Trends Cogn Sci       Date:  2011-01-10       Impact factor: 20.229

10.  Coarse guidance by numerosity in visual search.

Authors:  Ester Reijnen; Jeremy M Wolfe; Joseph Krummenacher
Journal:  Atten Percept Psychophys       Date:  2013-01       Impact factor: 2.199

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