Evidence map›Paper›PMID 24567724›Full record

ReviewFrontiers in psychology2014

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

Chia-Chien Wu, Farahnaz Ahmed Wick, Marc Pomplun

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 154 citations in OpenAlex.

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  13. The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Chia-Chien WuDepartment of Computer Science, University of Massachusetts Boston, MA, USA.
Farahnaz Ahmed WickDepartment of Computer Science, University of Massachusetts Boston, MA, USA.
Marc PomplunDepartment of Computer Science, University of Massachusetts Boston, MA, USA.
University of Massachusetts Boston · USBoston University · US

Funding

Semantic Guidance of Visual AttentionR01EY021802 · NEI · UNIVERSITY OF MASSACHUSETTS BOSTON · PI POMPLUN, MARC · 2012 to 2014
$653k
NEI NIH HHS R01 EY021802
6 · The paper itself

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.

Indexed as

attentionreal-world scenesscene perceptionscene understandingsemantics

Identifiers

PMID24567724
PMCPMC3915098
OpenAlexW1977704447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.