2015
DOI: 10.1167/15.6.10
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Crowding by a repeating pattern

Abstract: Theinability to recognize a peripheral target among flankers is called crowding. For a foveal target, crowding can be distinguished from overlap masking by its sparing of detection, linear scaling with eccentricity, and invariance with target size.Crowding depends on the proximity and similarity of the flankers to the target. Flankers that are far from or dissimilar to the target do not crowd it. On a gray page, text whose neighboring letters have different colors, alternately black and white, has enough dissi… Show more

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Cited by 18 publications
(21 citation statements)
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“…Gestalt approaches (21) argue that crowding occurs when the target is 'grouped' with the flankers, e.g. by forming a pattern with the flankers (44), and that it is reduced when the flankers form patterns that exclude the target (45). The topdown nature of grouping suggests that it should apply to the collection of features within the target as a whole, making it an allor-none process that is inconsistent with the dissociations we observe here.…”
Section: Discussioncontrasting
confidence: 60%
“…Gestalt approaches (21) argue that crowding occurs when the target is 'grouped' with the flankers, e.g. by forming a pattern with the flankers (44), and that it is reduced when the flankers form patterns that exclude the target (45). The topdown nature of grouping suggests that it should apply to the collection of features within the target as a whole, making it an allor-none process that is inconsistent with the dissociations we observe here.…”
Section: Discussioncontrasting
confidence: 60%
“…Adding flankers outside Bouma's window can improve performance contrary to theories a and b. It is important to note that adding elements outside Bouma's window can also increase crowding (Manassi et al, 2012;Rosen & Pelli, 2015;Saarela et al, 2010;Vickery, Shim, Chakravarthi, Jiang, & Luedeman, 2009). Hence, neither Bouma's window nor the number or extent of flankers determines crowding.…”
Section: Crowding Characteristics and Modelsmentioning
confidence: 99%
“…This research appeared as a chapter in Rosen's unpublished Ph.D. thesis (Psychology Department, New York University, 2012). This paper is one of a set of papers using crowding to characterize object recognition (Rosen, Chakravarthi, & Pelli, 2014;Rosen & Pelli, 2014a, 2014b…”
Section: Acknowledgmentsmentioning
confidence: 99%