Evidence map›Paper›PMID 32160232›Full record

ArticlePloS one2020

Relationship between speed perception and eye movement-A case study of crash-involved and crash-not-involved drivers in China.

Fuwei Wu, Rui Fu, Yong Ma, Chang Wang, Zhi Zhang

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Fuwei WuKey Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement Technology (Chang'an University), Xi'an, China.ORCID 0000-0002-3423-5823
Rui FuKey Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement Technology (Chang'an University), Xi'an, China.
Yong MaSchool of Automobile, Chang'an University, Xi'an, China.
Chang WangKey Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement Technology (Chang'an University), Xi'an, China.
Zhi ZhangSchool of Automobile, Chang'an University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speed perception tests are already used in several countries as part of the driver licensing curriculum; however, this test is not compulsively required in China. The purpose of this study was to investigate the relationship between speed perception and eye movement for different driver groups. Forty-eight drivers, including 28 crash-involved (CI), with rear-end or side collisions, and 20 crash-not-involved (CNI) drivers, were recruited for the speed perception experiments. Drivers' reaction characteristics as well as eye movement data were analyzed. The results showed that CI drivers were more likely to overestimate the speed of visual stimuli and react in advance. The speed perception of CI drivers was more accurate than that of CNI drivers for visual stimuli with middle to high moving speeds, indicating that CNI drivers are more cautious and conservative when driving. Regarding eye movement, significant differences in saccade speed were found between the CI and CNI drivers in the occlusion area under high speed and the occlusion ratio. The relationship between visual pattern and speed perception accuracy was found to some extent. Implications of the speed perception test for the driver aptitude test were discussed.

Indexed as

Accidents, TrafficAutomobile DrivingAdultChinaErgonomicsEye MovementsFemaleHumansLicensureMaleMental RecallMiddle AgedMotion PerceptionOdds RatioPhotic StimulationSaccades

Identifiers

PMID32160232
PMCPMC7065806

What OpenQuestion holds

Textmetadata
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.