Evidence map›Paper›PMID 31710652›Full record

ArticlePloS one2019

Contingent negative variation during a modified cueing task in simulated driving.

Zizheng Guo, Xi Tan, Yufan Pan, Xian Liu, Guozhen Zhao, Lin Wang, Zhen Peng

Abstract read
In one paragraph

Article in PloS one, 2019. 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. Article
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

7 authors.

Zizheng GuoSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Xi TanSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Yufan PanSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Xian LiuSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Guozhen ZhaoCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.ORCID 0000-0003-4438-5320
Lin WangSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Zhen PengSchool of Arts and Sciences, Arizona State University, Tempe, Arizona, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The obscured pedestrian-motor vehicle crash has become a serious danger to driving safety. The present study aims to investigate the contingent negative variation (CNV) during the anticipation of an obscured pedestrian-motor vehicle crash in simulated driving. We adopted two cueing tasks: (i) a traditional cognitive paradigm of cueing task that has been widely used to study anticipatory process, and (ii) a modified cueing task in simulated driving scenes, in which Electroencephalogram (EEG) signals of 32 participants were recorded to detect the CNV. Simulated car following and pedestrian crossing tasks were designed to measure anticipation-related driving behaviors. The results showed that both early and late CNVs were observed in two cueing tasks. The mean amplitude of the late CNV during a modified cueing task in simulated driving was significantly larger than that in a traditional cueing task, which was not the case for the early CNV potentials. In addition, both early and late CNVs elicited in simulated driving were significantly correlated with anticipatory driving behaviors (e.g., the minimum time to collision). These findings show that CNV potentials during the anticipation of an obscured pedestrian-motor vehicle crash might predict anticipation-related risky driving behaviors.

Indexed as

Automobile DrivingComputer SimulationContingent Negative VariationCuesBehaviorCognitionEvoked PotentialsFemaleHumansMaleTask Performance and AnalysisYoung Adult

Identifiers

PMID31710652
PMCPMC6844449

What OpenQuestion holds

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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.