Evidence map›Paper›PMID 39080284›Full record

ArticleNature communications2024

People are more error-prone after committing an error.

Tyler J Adkins, Han Zhang, Taraz G Lee

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Tyler J AdkinsDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1472-167X
Han ZhangDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-6087-0428
Taraz G LeeDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA. tarazlee@umich.edu.ORCID 0000-0002-3186-8625

Funding

Investigating interference-control in ADHD using a novel forced-response methodR21MH129909 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JONIDES, JOHN · 2023 to 2024
$429k
National Science Foundation (NSF) 2238151NIMH NIH HHS R21 MH129909U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5 - R21 - MH - 129909 - 02
6 · The paper itself

Abstract

Humans tend to slow down after making an error. A longstanding account of this post-error slowing is that people are simply more cautious. However, accuracy typically does not improve following an error, leading some researchers to suggest that an initial 'orienting' response may initially impair performance immediately following error. Unfortunately, characterizing the nature of this error-based impairment remains a challenge in standard tasks that use free response times. By exerting control over the timing of responses, we reveal the time course of stimulus-response processing. Participants are less accurate after an error even when given ample time to make a response. A computational model of response preparation rules out the possibility that errors lead to slower cognitive processing. Instead, we find that the efficacy of cognitive processing in producing an intended response is impaired following errors. Following an error, participants commit more slips of action that tend to be a repetition of the previous mistake. Rather than a strategic shift along a single speed-accuracy tradeoff function, post-error slowing observed in free response time tasks may be an adaptive response to impaired cognitive processing that reflects an altered relationship between the speed and accuracy of responses.

Indexed as

CognitionReaction TimeAdultComputer SimulationFemaleHumansMalePsychomotor PerformanceYoung Adult

Identifiers

PMID39080284
PMCPMC11289479

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.