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Binocularity and visual search—Revisited

Overview of attention for article published in Attention, Perception, & Psychophysics, November 2016
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Title
Binocularity and visual search—Revisited
Published in
Attention, Perception, & Psychophysics, November 2016
DOI 10.3758/s13414-016-1247-8
Pubmed ID
Authors

Bochao Zou, Igor S. Utochkin, Yue Liu, Jeremy M. Wolfe

Abstract

Binocular rivalry is a phenomenon of visual competition in which perception alternates between two monocular images. When two eye's images only differ in luminance, observers may perceive shininess, a form of rivalry called binocular luster. Does dichoptic information guide attention in visual search? Wolfe and Franzel (Perception & Psychophysics, 44(1), 81-93, 1988) reported that rivalry could guide attention only weakly, but that luster (shininess) "popped out," producing very shallow Reaction Time (RT) × Set Size functions. In this study, we have revisited the topic with new and improved stimuli. By using a checkerboard pattern in rivalry experiments, we found that search for rivalry can be more efficient (16 ms/item) than standard, rivalrous grating (30 ms/item). The checkerboard may reduce distracting orientation signals that masked the salience of rivalry between simple orthogonal gratings. Lustrous stimuli did not pop out when potential contrast and luminance artifacts were reduced. However, search efficiency was substantially improved when luster was added to the search target. Both rivalry and luster tasks can produce search asymmetries, as is characteristic of guiding features in search. These results suggest that interocular differences that produce rivalry or luster can guide attention, but these effects are relatively weak and can be hidden by other features like luminance and orientation in visual search tasks.

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Geographical breakdown

Country Count As %
United States 2 4%
Australia 1 2%
Netherlands 1 2%
Belgium 1 2%
United Kingdom 1 2%
Unknown 46 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Master 7 13%
Student > Ph. D. Student 6 12%
Professor 5 10%
Student > Bachelor 5 10%
Other 14 27%
Unknown 7 13%
Readers by discipline Count As %
Psychology 25 48%
Engineering 3 6%
Neuroscience 2 4%
Medicine and Dentistry 2 4%
Computer Science 1 2%
Other 5 10%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2016.
All research outputs
#21,500,614
of 24,003,070 outputs
Outputs from Attention, Perception, & Psychophysics
#1,661
of 1,773 outputs
Outputs of similar age
#357,977
of 423,313 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#26
of 40 outputs
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