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Attentional Capture Does Not Depend on Feature Similarity, but on Target-Nontarget Relations

Overview of attention for article published in Psychological Science, April 2013
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Title
Attentional Capture Does Not Depend on Feature Similarity, but on Target-Nontarget Relations
Published in
Psychological Science, April 2013
DOI 10.1177/0956797612458528
Pubmed ID
Authors

Stefanie I. Becker, Charles L. Folk, Roger W. Remington

Abstract

What factors determine which stimuli of a scene will be visually selected and become available for conscious perception? The currently prevalent view is that attention operates on specific feature values, so attention will be drawn to stimuli that have features similar to those of the sought-after target. Here, we show that, instead, attentional capture depends on whether a distractor's feature relationships match the target-nontarget relations (e.g., redder). In three spatial-cuing experiments, we found that (a) a cue with the target color (e.g., orange) can fail to capture attention when the cue-cue-context relations do not match the target-nontarget relations (e.g., redder target vs. yellower cue), whereas (b) a cue with the nontarget color can capture attention when its relations match the target-nontarget relations (e.g., both are redder). These results support a relational account in which attention is biased toward feature relationships instead of particular feature values, and show that attentional capture by an irrelevant distractor does not depend on feature similarity, but rather depends on whether the distractor matches or mismatches the target's relative attributes (e.g., relative color).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Canada 2 1%
Germany 1 <1%
Portugal 1 <1%
India 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 23 16%
Student > Master 18 13%
Student > Doctoral Student 13 9%
Student > Bachelor 10 7%
Other 25 17%
Unknown 13 9%
Readers by discipline Count As %
Psychology 92 64%
Agricultural and Biological Sciences 8 6%
Neuroscience 5 3%
Social Sciences 4 3%
Engineering 4 3%
Other 11 8%
Unknown 19 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 September 2016.
All research outputs
#13,383,750
of 22,708,120 outputs
Outputs from Psychological Science
#3,538
of 4,195 outputs
Outputs of similar age
#106,785
of 199,688 outputs
Outputs of similar age from Psychological Science
#94
of 104 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,195 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 80.6. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 199,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.