Evidence map›Paper›PMID 39695027›Full record

ArticleBehavior research methods2024

Reliably measuring learning-dependent distractor suppression with eye tracking.

Andy J Kim, Laurent Grégoire, Brian A Anderson

Abstract read
In one paragraph

Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Signal suppression makes search less effortful.Cognitive, affective & behavioral neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andy J KimSchool of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, CA, 90089, USA. andyk@usc.edu.
Laurent GrégoireDepartment of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA.
Brian A AndersonDepartment of Psychological & Brain Sciences, Texas A&M University, College Station, TX, USA.

Funding

The effects of noradrenergic activity on age-related distractibilityF32AG076288 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KIM, ANDY JEESU · 2022 to 2025
$164k
NIA NIH HHS F32 AG076288
6 · The paper itself

Abstract

In the field of psychological science, behavioral performance in computer-based cognitive tasks often exhibits poor reliability. The absence of reliable measures of cognitive processes contributes to non-reproducibility in the field and impedes the investigation of individual differences. Specifically in visual search paradigms, response time-based measures have shown poor test-retest reliability and internal consistency across attention capture and distractor suppression, but one study has demonstrated the potential for oculomotor measures to exhibit superior reliability. Therefore, in this study, we investigated three datasets to compare the reliability of learning-dependent distractor suppression measured via distractor fixations (oculomotor capture) and latency to fixate the target (fixation times). Our findings reveal superior split-half reliability of oculomotor capture compared to that of fixation times regardless of the critical distractor comparison, with the reliability of oculomotor capture in most cases falling within the range that is acceptable for the investigation of individual differences. We additionally find that older adults have superior oculomotor reliability compared with young adults, potentially addressing a significant limitation in the aging literature of high variability in response time measures due to slower responses. Our findings highlight the utility of measuring eye movements in the pursuit of reliable indicators of distractor processing and the need to further test and develop additional measures in other sensory domains to maximize statistical power, reliability, and reproducibility.

Indexed as

AttentionEye MovementsEye-Tracking TechnologyLearningReaction TimeAdolescentAdultAgedFemaleFixation, OcularHumansMaleMiddle AgedReproducibility of ResultsYoung AdultAttention captureDistractor suppressionReliabilityVisual search

Identifiers

PMID39695027
PMCPMC11655588

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LicenceCC BY
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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.