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Guidance of visual attention by semantic information in real-world scenes

Overview of attention for article published in Frontiers in Psychology, January 2014
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Title
Guidance of visual attention by semantic information in real-world scenes
Published in
Frontiers in Psychology, January 2014
DOI 10.3389/fpsyg.2014.00054
Pubmed ID
Authors

Chia-Chien Wu, Farahnaz Ahmed Wick, Marc Pomplun

Abstract

Recent research on attentional guidance in real-world scenes has focused on object recognition within the context of a scene. This approach has been valuable for determining some factors that drive the allocation of visual attention and determine visual selection. This article provides a review of experimental work on how different components of context, especially semantic information, affect attentional deployment. We review work from the areas of object recognition, scene perception, and visual search, highlighting recent studies examining semantic structure in real-world scenes. A better understanding on how humans parse scene representations will not only improve current models of visual attention but also advance next-generation computer vision systems and human-computer interfaces.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Canada 2 1%
Italy 1 <1%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Unknown 178 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 18%
Student > Master 33 18%
Researcher 27 14%
Student > Bachelor 27 14%
Student > Doctoral Student 13 7%
Other 26 14%
Unknown 29 15%
Readers by discipline Count As %
Psychology 100 53%
Neuroscience 14 7%
Computer Science 12 6%
Agricultural and Biological Sciences 6 3%
Social Sciences 5 3%
Other 18 10%
Unknown 33 18%
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 04 August 2014.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from Frontiers in Psychology
#16,709
of 31,442 outputs
Outputs of similar age
#187,197
of 309,169 outputs
Outputs of similar age from Frontiers in Psychology
#130
of 180 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 38th percentile – i.e., 38% 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 309,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.