2017
DOI: 10.1038/srep45551
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Visual crowding is a combination of an increase of positional uncertainty, source confusion, and featural averaging

Abstract: Although we perceive a richly detailed visual world, our ability to identify individual objects is severely limited in clutter, particularly in peripheral vision. Models of such “crowding” have generally been driven by the phenomenological misidentifications of crowded targets: using stimuli that do not easily combine to form a unique symbol (e.g. letters or objects), observers typically confuse the source of objects and report either the target or a distractor, but when continuous features are used (e.g. orie… Show more

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Cited by 20 publications
(20 citation statements)
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References 66 publications
(102 reference statements)
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“…Such perceptual interference would degrade the encoding of memoranda due to their persistent overlapping cortical representations. Indeed, the nature of errors in these previous studies of working memory are consistent with those in visual crowding paradigms with minimal working memory demands ( Ester et al, 2014 ; Harrison and Bex, 2015 , 2017 ). The combination of target duration and interstimulus interval used by Pertzov et al (2014) (500 ms) thus sets a lower bound on the time required to transform a sensory signal into a memory representation.…”
Section: Discussionsupporting
confidence: 77%
See 1 more Smart Citation
“…Such perceptual interference would degrade the encoding of memoranda due to their persistent overlapping cortical representations. Indeed, the nature of errors in these previous studies of working memory are consistent with those in visual crowding paradigms with minimal working memory demands ( Ester et al, 2014 ; Harrison and Bex, 2015 , 2017 ). The combination of target duration and interstimulus interval used by Pertzov et al (2014) (500 ms) thus sets a lower bound on the time required to transform a sensory signal into a memory representation.…”
Section: Discussionsupporting
confidence: 77%
“…This model is also consistent with the results of Tamber-Rosenau et al (2015) , who found that the frequency of swap errors for simultaneously presented memoranda depends on the degree of perceptual crowding. Because visual crowding increases positional uncertainty ( Harrison and Bex, 2017 ), a conjunctive code that binds spatial location with orientation will produce more swap errors under strongly crowded conditions than weakly crowded conditions, as was observed by Tamber-Rosenau et al (2015) . The Schneegans and Bays' (2017) model therefore suggests an important role of location in binding nonspatial features when items are presented simultaneously, but leaves open the question of how to account for the present findings with sequentially presented memoranda.…”
Section: Discussionmentioning
confidence: 92%
“…In particular, bar flankers produce less pronounced reductions in task accuracy than letter flankers, perhaps because bars are dissimilar to letters (Song, Levi, & Pelli, 2014). Furthermore, bar flankers may reduce positional uncertainty by cuing the position of the flanked target, an effect that does not occur for flanking letters (Harrison & Bex, 2017), which represent viable alternative responses. Reduced positional uncertainty induced by bar flankers may have counteracted any effect of fixational eye movements on the recognition of flanked stimuli because fixational eye movements are likely to increase positional uncertainty.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Falkenberg, Rubin & Bex (2007) reported that crowding was unaffected by different levels of simulated fixation instability in normal peripheral vision, and Greenwood, Szinte, Sayim, & Cavanagh (2017) found no association between the magnitude of crowding and saccadic precision in peripheral vision. Moreover, there are models that consider positional uncertainty or confusion between target and flankers (Strasburger & Malania, 2013) or a combination of both uncertainty and confusion (Harrison & Bex, 2017) to explain the effect of crowding. The lack of an association between reduced fixation stability and crowding suggests that fixational eye movements are not a source of positional uncertainty in observers with normal vision.…”
Section: Discussionmentioning
confidence: 99%
“…A prominent hypothesis suggests that it is a limitation of bottom-up processes involved in feature integration (e.g. Greenwood et al (2009), Harrison and Bex (2017), Parkes et al (2001), and Pelli et al (2004)). According to this account, when an object is presented in isolation or far from other objects, its features are detected and appropriately combined to produce a recognisable object representation.…”
Section: Introductionmentioning
confidence: 99%