Category effect in visual crowding= feature differences plus overlap differences

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Abstract

Recognition of an object in the periphery is negatively influenced by other objects in close proximity. This crowding effect is modulated by the similarity between such adjacent objects. The more similar the objects features are (e.g., shape or spatial frequency), the stronger the crowding between the objects is. Recent evidence seems to suggest that this similarity effect extends to higher level properties of objects, such as their category membership: objects belonging to the same category crowd more than those belonging to different categories. In three experiments, we take a closer look at this alleged higher-level interaction in crowding while controlling for various low-level attributes. We find that the category effect is observed when there are featural differences between target and flankers or when there is substantial overlap between the two (target and flanker) stimulus sets; whereas the effect completely disappears when both are controlled for. We conclude that the effect cannot be attributed to object category, but can be reduced to low-level differences such as featural differences and differences in target- and distracter-set overlap. Based on thesefindings, we recommend caution when claiming the existence of higher-level interactions in crowding.
Original languageEnglish
Journali-Perception
Volume7
Issue number1
DOIs
Publication statusPublished - 1 Feb 2016
EventThe Scottish Vision Group (SVG) Meeting 2015 - Carnoustie Golf Hotel, Carnoustie, United Kingdom
Duration: 20 Mar 201522 Mar 2015
Conference number: 15

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@article{67c576bf8d764c94b4615e0a3f510efa,
title = "Category effect in visual crowding= feature differences plus overlap differences",
abstract = "Recognition of an object in the periphery is negatively influenced by other objects in close proximity. This crowding effect is modulated by the similarity between such adjacent objects. The more similar the objects features are (e.g., shape or spatial frequency), the stronger the crowding between the objects is. Recent evidence seems to suggest that this similarity effect extends to higher level properties of objects, such as their category membership: objects belonging to the same category crowd more than those belonging to different categories. In three experiments, we take a closer look at this alleged higher-level interaction in crowding while controlling for various low-level attributes. We find that the category effect is observed when there are featural differences between target and flankers or when there is substantial overlap between the two (target and flanker) stimulus sets; whereas the effect completely disappears when both are controlled for. We conclude that the effect cannot be attributed to object category, but can be reduced to low-level differences such as featural differences and differences in target- and distracter-set overlap. Based on thesefindings, we recommend caution when claiming the existence of higher-level interactions in crowding.",
author = "Josephine Reuther and Ramakrishna Chakravarthi",
year = "2016",
month = "2",
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doi = "10.1177{\%}2F2041669515593223",
language = "English",
volume = "7",
journal = "i-Perception",
issn = "2041-6695",
publisher = "SAGE Publications Ltd STM",
number = "1",

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TY - JOUR

T1 - Category effect in visual crowding= feature differences plus overlap differences

AU - Reuther, Josephine

AU - Chakravarthi, Ramakrishna

PY - 2016/2/1

Y1 - 2016/2/1

N2 - Recognition of an object in the periphery is negatively influenced by other objects in close proximity. This crowding effect is modulated by the similarity between such adjacent objects. The more similar the objects features are (e.g., shape or spatial frequency), the stronger the crowding between the objects is. Recent evidence seems to suggest that this similarity effect extends to higher level properties of objects, such as their category membership: objects belonging to the same category crowd more than those belonging to different categories. In three experiments, we take a closer look at this alleged higher-level interaction in crowding while controlling for various low-level attributes. We find that the category effect is observed when there are featural differences between target and flankers or when there is substantial overlap between the two (target and flanker) stimulus sets; whereas the effect completely disappears when both are controlled for. We conclude that the effect cannot be attributed to object category, but can be reduced to low-level differences such as featural differences and differences in target- and distracter-set overlap. Based on thesefindings, we recommend caution when claiming the existence of higher-level interactions in crowding.

AB - Recognition of an object in the periphery is negatively influenced by other objects in close proximity. This crowding effect is modulated by the similarity between such adjacent objects. The more similar the objects features are (e.g., shape or spatial frequency), the stronger the crowding between the objects is. Recent evidence seems to suggest that this similarity effect extends to higher level properties of objects, such as their category membership: objects belonging to the same category crowd more than those belonging to different categories. In three experiments, we take a closer look at this alleged higher-level interaction in crowding while controlling for various low-level attributes. We find that the category effect is observed when there are featural differences between target and flankers or when there is substantial overlap between the two (target and flanker) stimulus sets; whereas the effect completely disappears when both are controlled for. We conclude that the effect cannot be attributed to object category, but can be reduced to low-level differences such as featural differences and differences in target- and distracter-set overlap. Based on thesefindings, we recommend caution when claiming the existence of higher-level interactions in crowding.

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DO - 10.1177%2F2041669515593223

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JO - i-Perception

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