Literature DB >> 26562896

Multiple Level Crowding: Crowding at the Object Parts Level and at the Object Configural level.

Ruth Kimchi1, Yossef Pirkner2.   

Abstract

In crowding, identification of a peripheral target in the presence of nearby flankers is worse than when the target appears alone. Prevailing theories hold that crowding occurs because of integration or "pooling" of low-level features at a single, relatively early stage of visual processing. Recent studies suggest that crowding can occur also between high-level object representations. The most relevant findings come from studies with faces and may be specific to faces. We examined whether crowding can occur at the object configural level in addition to part-level crowding, using nonface objects. Target (a disconnected square or diamond made of four elements) identification was measured at varying eccentricities. The flankers were similar either to the target parts or to the target configuration. The results showed crowding in both cases: Flankers interfered with target identification such that identification accuracy decreased with an increase in eccentricity, and no interference was observed at the fovea. Crowding by object parts, however, was weaker and had smaller spatial extent than crowding by object configurations; we related this finding to the relationship between crowding and perceptual organization. These results provide strong evidence that crowding occurs not only between object parts but also between configural representations of objects.
© The Author(s) 2015.

Keywords:  Crowding; gestalt; grouping; object configuration; object parts; perceptual organization; visual attention

Mesh:

Year:  2015        PMID: 26562896     DOI: 10.1177/0301006615594970

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  12 in total

1.  Crowding and Binding: Not All Feature Dimensions Behave in the Same Way.

Authors:  Amit Yashar; Xiuyun Wu; Jiageng Chen; Marisa Carrasco
Journal:  Psychol Sci       Date:  2019-09-18

2.  Object-based biased competition during covert spatial orienting.

Authors:  Miranda Scolari; Edward Awh
Journal:  Atten Percept Psychophys       Date:  2019-07       Impact factor: 2.199

3.  Perceptual integration and attention in human extrastriate cortex.

Authors:  Francesca Strappini; Gaspare Galati; Marialuisa Martelli; Enrico Di Pace; Sabrina Pitzalis
Journal:  Sci Rep       Date:  2017-11-01       Impact factor: 4.379

4.  The extraction of natural scene gist in visual crowding.

Authors:  Mingliang Gong; Yuming Xuan; L James Smart; Lynn A Olzak
Journal:  Sci Rep       Date:  2018-09-19       Impact factor: 4.379

5.  Challenges to pooling models of crowding: Implications for visual mechanisms.

Authors:  Ruth Rosenholtz; Dian Yu; Shaiyan Keshvari
Journal:  J Vis       Date:  2019-07-01       Impact factor: 2.240

6.  Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing.

Authors:  Alban Bornet; Oh-Hyeon Choung; Adrien Doerig; David Whitney; Michael H Herzog; Mauro Manassi
Journal:  J Vis       Date:  2021-11-01       Impact factor: 2.240

7.  Mixture-modeling approach reveals global and local processes in visual crowding.

Authors:  Mikel Jimenez; Ruth Kimchi; Amit Yashar
Journal:  Sci Rep       Date:  2022-04-25       Impact factor: 4.996

8.  A Comparison of Foveal and Peripheral Contour Interaction and Crowding.

Authors:  Stephanie M Marten-Ellis; Harold E Bedell
Journal:  Optom Vis Sci       Date:  2021-01-01       Impact factor: 2.106

9.  Response selection modulates crowding: a cautionary tale for invoking top-down explanations.

Authors:  Josephine Reuther; Ramakrishna Chakravarthi
Journal:  Atten Percept Psychophys       Date:  2020-05       Impact factor: 2.199

10.  Automatic object-based spatial selection depends on the distribution of sustained attention.

Authors:  Ema Shamasdin Bidiwala; Miranda Scolari
Journal:  Atten Percept Psychophys       Date:  2021-06-15       Impact factor: 2.199

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