Evidence map›Paper›PMID 31907852›Full record

ArticlePsychonomic bulletin & review2020

Distraction biases working memory for faces.

Remington Mallett, Anurima Mummaneni, Jarrod A Lewis-Peacock

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. Neural Dynamics of Reselecting Visual and Motor Contents in Working Memory after External Interference.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. Integration of history information Drives Serial Dependence and Stabilizes Working Memory Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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  18. 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

3 authors.

Remington MallettDepartment of Psychology, University of Texas at Austin, Austin, TX, USA. remym@utexas.edu.
Anurima MummaneniWestwood High School, Austin, TX, USA.
Jarrod A Lewis-PeacockDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.

Funding

Biasing the Forgetting of Visual MemoriesR01EY028746 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI LEWIS-PEACOCK, JARROD A · 2018 to 2022
$1.8M
NEI NIH HHS R01 EY028746NEI NIH HHS R01EY028746
6 · The paper itself

Abstract

Working memory persists in the face of distraction, yet not without consequence. Previous research has shown that memory for low-level visual features is systematically influenced by the maintenance or presentation of a similar distractor stimulus. Responses are frequently biased in stimulus space towards a perceptual distractor, though this has yet to be determined for high-level stimuli. We investigated whether these influences are shared for complex visual stimuli such as faces. To quantify response accuracies for these stimuli, we used a delayed-estimation task with a computer-generated "face space" consisting of 80 faces that varied continuously as a function of age and sex. In a set of three experiments, we found that responses for a target face held in working memory were biased towards a distractor face presented during the maintenance period. The amount of response bias did not vary as a function of distance between target and distractor. Our data suggest that, similar to low-level visual features, high-level face representations in working memory are biased by the processing of related but task-irrelevant information.

Indexed as

AdultAttentionFacial RecognitionFemaleHumansMaleMemory, Short-TermYoung AdultBiasDistractionFace perceptionVisual working memory

Identifiers

PMID31907852
PMCPMC7101264

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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.