Evidence map›Paper›PMID 32722496›Full record

ArticleInternational journal of environmental research and public health2020

Drivers' Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study.

Yanli Ma, Shouming Qi, Yaping Zhang, Guan Lian, Weixin Lu, Ching-Yao Chan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Analysis of Traffic Signs Information Volume Affecting Driver's Visual Characteristics and Driving Safety.International journal of environmental research and public health · 2022
    Article
  4. 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

6 authors.

Yanli MaSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Shouming QiSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.ORCID 0000-0002-3018-5822
Yaping ZhangSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China.
Guan LianSchool of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Weixin LuSchool of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China.
Ching-Yao ChanCalifornia PATH, University of California, Berkeley, CA 94804, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, an on-road driving experiment was designed to investigate the visual attention fixation and transition characteristics of drivers when they are under different cognitive workloads. First, visual attention was macroscopically analyzed through the entropy method. Second, the Markov glance one- and two-step transition probability matrices were constructed, which can study the visual transition characteristics under different conditions from a microscopic perspective. Results indicate that the fixation entropy value of male drivers is 23.08% higher than that of female drivers. Under the normal driving state, drivers' fixation on in-vehicle systems is not continuous and usually shifts to the front and left areas quickly after such fixation. When under cognitive workload, drivers' vision transition is concentrated only in the front and right areas. In mild cognitive workload, drivers' sight trajectory is mainly focused on the distant front area. As the workload level increases, the transition trajectory shifts to the junction near the front and far sides. The current study finds that the difference between an on-road test and a driving simulation is that during the on-road driving process, drivers are twice as attentive to the front area than to the driving simulator. The research provides practical guidance for the improvement of traffic safety.

Indexed as

Automobile DrivingFixation, OcularWorkloadAccidents, TrafficAttentionCognitionFemaleHumansMalecognitive workloadentropy methodMarkov processeson-road experimentvisual fixation characteristicsvisual transition characteristics

Identifiers

PMID32722496
PMCPMC7432427

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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.