Evidence map›Paper›PMID 41348165›Full record

ArticleExperimental brain research2025

The effects of mental fatigue on decision-making for collision avoidance.

Isaac M Kelly, Michael E Cinelli

Abstract read
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Article in Experimental brain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Isaac M KellyDepartment of Kinesiology and Physical Education, Wilfrid Laurier University, 75 University Ave. W, Waterloo, ON, N2L 3C5, Canada.
Michael E CinelliDepartment of Kinesiology and Physical Education, Wilfrid Laurier University, 75 University Ave. W, Waterloo, ON, N2L 3C5, Canada. mcinelli@wlu.ca.

Funding

Natural Sciences and Engineering Research Council of Canada 2019-05894
6 · The paper itself

Abstract

Mental fatigue is a psychobiological state brought on by long periods of demanding cognitive activity and can impact cognitive performance. The aim of this study was to determine whether mental fatigue affects decision-making performance (response time and accuracy) during a collision avoidance task. Twenty-six young adults were randomly assigned to either a mental fatigue or a control group. In a virtual environment, participants approached a 90 cm doorway while a virtual person approached from the opposite side. As participants reached two meters from the doorway, the screen went blank, and they were instructed to respond as quickly and accurately as possible whether they would pass through the doorway first. The virtual person approached at four different speeds relative to the participant's average walking speed (i.e. 0.8×, 0.9×, 1.1×, and 1.2×). After completing 20 trials, the mental fatigue group completed a 30-minute Stroop task while the control group watched a 30-minute documentary, followed by another block of the crossing order task. A 5-minute psychomotor vigilance task (PVT) was used as a behavioural measure of mental fatigue. Statistical analyses revealed a significant time by group interaction for PVT performance, such that the mental fatigue group demonstrated slower response times following the Stroop task. However, both groups demonstrated significantly faster response times and improved accuracy during the crossing order task following their respective intervention. The findings of this study suggest that the task was not cognitively demanding enough to reveal performance impairments associated with mental fatigue.

Indexed as

Avoidance LearningDecision MakingMental FatiguePsychomotor PerformanceAdolescentAdultFemaleHumansMaleReaction TimeVirtual RealityYoung AdultCollision avoidanceDecision-makingMental fatigueVirtual reality

Identifiers

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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.