2014
DOI: 10.1167/14.5.3
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A double dissociation of the acuity and crowding limits to letter identification, and the promise of improved visual screening

Abstract: Here, we systematically explore the size and spacing requirements for identifying a letter among other letters. We measure acuity for flanked and unflanked letters, centrally and peripherally, in normals and amblyopes. We find that acuity, overlap masking, and crowding each demand a minimum size or spacing for readable text. Just measuring flanked and unflanked acuity is enough for our proposed model to predict the observer's threshold size and spacing for letters at any eccentricity. We also find that amblyop… Show more

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Cited by 86 publications
(133 citation statements)
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References 101 publications
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“…A range of behavioral studies also support a later-stage locus for visual crowding (3,13,(51)(52)(53). Furthermore, although acuity and crowding are correlated in the "normal" periphery (as in our gap-resolution data) and within-group for cases of amblyopia (54,55), between-group comparisons reveal a clear acuitycrowding dissociation (56,57). It may be that low-level spatial precision sets the precedence for crowding in development, but that disruptions to the visual system through additional factors such as a loss of binocularity (54) can dissociate these two factors.…”
Section: Discussionsupporting
confidence: 65%
“…A range of behavioral studies also support a later-stage locus for visual crowding (3,13,(51)(52)(53). Furthermore, although acuity and crowding are correlated in the "normal" periphery (as in our gap-resolution data) and within-group for cases of amblyopia (54,55), between-group comparisons reveal a clear acuitycrowding dissociation (56,57). It may be that low-level spatial precision sets the precedence for crowding in development, but that disruptions to the visual system through additional factors such as a loss of binocularity (54) can dissociate these two factors.…”
Section: Discussionsupporting
confidence: 65%
“…In the remainder I would thus like to draw attention to a few points in this respect. For one, the concept of feature integration is still a major contender for letter recognition and (thus) letter crowding (cf Freeman et al, 2012;Pelli et al, 2004;Song, Levi, & Pelli, 2014;Strasburger et al, 2011;Tyler & Likova, 2007). It is perhaps instructive to go back to the roots of that and remind ourselves that Selfridge's (1959) Pandemonium Model (figure 4) was already computational and close to a neural implementation (since the demons Selfridge's (1959) computational Pandemonium Model, as depicted by Lindsay and Norman (1972) (illustration: Leanne Hinton).…”
Section: Solution: a Two-mechanism Modelmentioning
confidence: 99%
“…By measuring the threshold letter size (the smallest letter size required to reach a given level of recognition accuracy) required for observers to recognize a letter flanked by other letters for a range of letter spacings, Coates, Chin and Chung (2013) and Song, Levi and Pelli (2014) independently showed that the threshold letter size depends on letter spacing, but only when the letter spacing is within the critical spacing. Within this regime, letter recognition is limited by letter spacing but not letter size.…”
Section: Introductionmentioning
confidence: 99%