Literature DB >> 21730225

The dependence of crowding on flanker complexity and target-flanker similarity.

Jean-Baptiste Bernard1, Susana T L Chung.   

Abstract

We examined the effects of the spatial complexity of flankers and target-flanker similarity on the performance of identifying crowded letters. On each trial, observers identified the middle character of random strings of three characters ("trigrams") briefly presented at 10° below fixation. We tested the 26 lowercase letters of the Times Roman and Courier fonts, a set of 79 characters (letters and non-letters) of the Times Roman font, and the uppercase letters of two highly complex ornamental fonts, Edwardian and Aristocrat. Spatial complexity of characters was quantified by the length of the morphological skeleton of each character, and target-flanker similarity was defined based on a psychometric similarity matrix. Our results showed that (1) letter identification error rate increases with flanker complexity up to a certain value, beyond which error rate becomes independent of flanker complexity; (2) the increase of error rate is slower for high-complexity target letters; (3) error rate increases with target-flanker similarity; and (4) mislocation error rate increases with target-flanker similarity. These findings, combined with the current understanding of the faulty feature integration account of crowding, provide some constraints of how the feature integration process could cause perceptual errors.

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Year:  2011        PMID: 21730225      PMCID: PMC3582406          DOI: 10.1167/11.8.1

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  44 in total

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4.  Spatial-frequency and contrast properties of crowding.

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5.  How do flankers' relations affect crowding?

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6.  Detection and identification of crowded mirror-image letters in normal peripheral vision.

Authors:  Susana T L Chung
Journal:  Vision Res       Date:  2009-12-02       Impact factor: 1.886

7.  A summary-statistic representation in peripheral vision explains visual crowding.

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Journal:  J Vis       Date:  2009-11-19       Impact factor: 2.240

Review 8.  The uncrowded window of object recognition.

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Journal:  Nat Neurosci       Date:  2008-10       Impact factor: 24.884

9.  Contrast polarity differences reduce crowding but do not benefit reading performance in peripheral vision.

Authors:  Susana T L Chung; J Stephen Mansfield
Journal:  Vision Res       Date:  2009-08-18       Impact factor: 1.886

10.  A neurophysiologically plausible population code model for feature integration explains visual crowding.

Authors:  Ronald van den Berg; Jos B T M Roerdink; Frans W Cornelissen
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

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  40 in total

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Journal:  J Vis       Date:  2011-12-06       Impact factor: 2.240

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Authors:  Deyue Yu; Melanie M U Akau; Susana T L Chung
Journal:  Vision Res       Date:  2011-11-07       Impact factor: 1.886

3.  The effects of alphabet and expertise on letter perception.

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5.  Comparing the visual spans for faces and letters.

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Journal:  J Vis       Date:  2015       Impact factor: 2.240

6.  Effect of pattern complexity on the visual span for Chinese and alphabet characters.

Authors:  Hui Wang; Xuanzi He; Gordon E Legge
Journal:  J Vis       Date:  2014-07-03       Impact factor: 2.240

7.  Stimulus conflation and tuning selectivity in V4 neurons: a model of visual crowding.

Authors:  Brad C Motter
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

8.  Face features and face configurations both contribute to visual crowding.

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Journal:  Atten Percept Psychophys       Date:  2015-02       Impact factor: 2.199

9.  Dependence of reading speed on letter spacing in central vision loss.

Authors:  Susana T L Chung
Journal:  Optom Vis Sci       Date:  2012-09       Impact factor: 1.973

10.  The effect of letter-stroke boldness on reading speed in central and peripheral vision.

Authors:  Jean-Baptiste Bernard; Girish Kumar; Jasmine Junge; Susana T L Chung
Journal:  Vision Res       Date:  2013-03-21       Impact factor: 1.886

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