Evidence map›Paper›PMID 40214935›Full record

ArticleAttention, perception & psychophysics2025

Learned distractor rejection: Robust but surprisingly rapid.

Isaac Savelson, Christopher Hauck, Mei-Ching Lien, Eric Ruthruff, Andrew B Leber

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Isaac SavelsonDepartment of Psychology, The Ohio State University, 1835 Neil Ave, Columbus, OH, 43210, USA. savelson.1@osu.edu.ORCID https://orcid.org/0000-0001-8377-1713
Christopher HauckSchool of Psychological Science, Oregon State University, Corvallis, OR, USA.ORCID https://orcid.org/0000-0002-1422-0325
Mei-Ching LienSchool of Psychological Science, Oregon State University, Corvallis, OR, USA.ORCID https://orcid.org/0000-0003-0032-223X
Eric RuthruffDepartment of Psychology, The University of New Mexico, Albuquerque, NM, USA.ORCID https://orcid.org/0000-0002-3948-3738
Andrew B LeberDepartment of Psychology, The Ohio State University, 1835 Neil Ave, Columbus, OH, 43210, USA.ORCID http://orcid.org/0000-0002-3537-1093

Funding

National Science Foundation BCS-2021038
6 · The paper itself

Abstract

The ability to reduce the distraction associated with repetitive irrelevant stimuli is critical to goal-directed navigation of the visual environment. Research has supported the existence of such an ability, which has often been referred to as learned distractor rejection (Vatterott & Vecera Psychonomic Bulletin & Review, 19, 871-878, 2012). However, despite being theoretically relevant to many prominent accounts of distractor ignoring, few studies have directly tested learned distractor rejection since its conception. In the current study we present three direct replications of Vatterott and Vecera's method that were separately conducted by two independent groups of researchers. Using the conventional split-block analysis, all three replications produce nearly identical results that fail to replicate the original study's finding. However, using analyses on a finer-grained timescale we found compelling evidence for the existence of a learned ignoring of salient distractors. Critically, this learning occurred much more rapidly than has been previously assumed, taking only two or three encounters with the distracting item before efficient rejection emerged.

Indexed as

AttentionColor PerceptionLearningPattern Recognition, VisualAdultFemaleHumansMaleReaction TimeYoung AdultAttentional captureInhibitionVisual search

Identifiers

PMID40214935
PMCPMC12058820

What OpenQuestion holds

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LicenceCC BY
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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.