Evidence map›Paper›PMID 35042925›Full record

ArticleScientific reports2022

The influence of stimuli valence, extraversion, and emotion regulation on visual search within real-world scenes.

Robert C A Bendall, Peter Eachus, Catherine Thompson

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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.

Robert C A BendallDirectorate of Psychology and Sport, School of Health and Society, University of Salford, Allerton Building, Frederick Road, Salford, M5 4WT, UK. r.c.a.bendall@salford.ac.uk.ORCID 0000-0001-9177-7007
Peter EachusDirectorate of Psychology and Sport, School of Health and Society, University of Salford, Allerton Building, Frederick Road, Salford, M5 4WT, UK.
Catherine ThompsonDirectorate of Psychology and Sport, School of Health and Society, University of Salford, Allerton Building, Frederick Road, Salford, M5 4WT, UK.ORCID 0000-0002-7967-7019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affective traits, including extraversion and emotion regulation, are important considerations in clinical psychology due to their associations with the occurrence of affective disorders. Previously, emotional real-world scenes have been shown to influence visual search. However, it is currently unknown whether extraversion and emotion regulation can influence visual search towards neutral targets embedded within real-world scenes, or whether these traits can impact the effect of emotional stimuli on visual search. An opportunity sample of healthy individuals had trait levels of extraversion and emotion regulation recorded before completing a visual search task. Participants more accurately identified search targets in neutral images compared to positive images, whilst response times were slower in negative images. Importantly, individuals with higher trait levels of expressive suppression displayed faster identification of search targets regardless of the emotional valence of the stimuli. Extraversion and cognitive reappraisal did not influence visual search. These findings add to our understanding regarding the influence of extraversion, cognitive reappraisal, and expressive suppression on our ability to allocate attention during visual search when viewing real-world scenes.

Indexed as

AdultAffective SymptomsAttentionCognitionEmotional RegulationEmotionsExtraversion, PsychologicalFemaleHumansMaleReaction TimeVision, OcularVisual Acuity

Identifiers

PMID35042925
PMCPMC8766590

What OpenQuestion holds

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Registered trials

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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.