Evidence map›Paper›PMID 31456175›Full record

ArticleAttention, perception & psychophysics2020

Center bias outperforms image salience but not semantics in accounting for attention during scene viewing.

Taylor R Hayes, John M Henderson

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  17. The role of local meaning in infants' fixations of natural scenes.Infancy : the official journal of the International Society on Infant Studies
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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

2 authors.

Taylor R HayesCenter for Mind and Brain, University of California, Davis, CA, USA. taylor.r.hayes@gmail.com.
John M HendersonCenter for Mind and Brain, University of California, Davis, CA, USA.

Funding

Guiding Attention in Real-World ScenesR01EY027792 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI John M Henderson · 2017 to 2026
$2.5M
NEI NIH HHS R01 EY027792
6 · The paper itself

Abstract

How do we determine where to focus our attention in real-world scenes? Image saliency theory proposes that our attention is 'pulled' to scene regions that differ in low-level image features. However, models that formalize image saliency theory often contain significant scene-independent spatial biases. In the present studies, three different viewing tasks were used to evaluate whether image saliency models account for variance in scene fixation density based primarily on scene-dependent, low-level feature contrast, or on their scene-independent spatial biases. For comparison, fixation density was also compared to semantic feature maps (Meaning Maps; Henderson & Hayes, Nature Human Behaviour, 1, 743-747, 2017) that were generated using human ratings of isolated scene patches. The squared correlations (R

Indexed as

SemanticsAttentionBiasFixation, OcularHumansVisual PerceptionCenter biasMeaning mapSaliencyScene perceptionSemantics

Identifiers

PMID31456175
PMCPMC11149060

What OpenQuestion holds

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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.