Evidence map›Paper›PMID 36982102›Full record

ArticleInternational journal of environmental research and public health2023

Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study.

Qiang Wei, Xinyu Du, Yixin Lin, Guanhua Hou, Siyuan Liu, Hao Fang, Ming Jin

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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, 2 citations in OpenAlex.

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

7 authors at 5 institutions in 2 countries.

Qiang WeiSchool of Education, Jianghan University, Wuhan 430056, China.
Xinyu DuSchool of Education, Jianghan University, Wuhan 430056, China.
Yixin LinSchool of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Guanhua HouPan Tianshou College of Architecture, Art and Design, Ningbo University, Ningbo 315211, China.
Siyuan LiuSchool of Education, Jianghan University, Wuhan 430056, China.
Hao FangSchool of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China.
Ming JinLancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK.
Jianghan University · CNHuazhong University of Science and Technology · CNLancaster University · GBNingbo University · CNWuhan Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dangerous goods marks are the most effective means of alerting individuals to the potential dangers associated with the transport of dangerous goods. In order to gain a better understanding of how dangerous goods marks convey risk information, the cognitive processing of dangerous goods marks was examined by measuring event-related potentials (ERPs). We recruited 23 participants, and their ERP data were recorded. We discovered that the dangerous goods marks elicited a larger P200 amplitude and a smaller N300 amplitude, indicating that, compared to other marks, the dangerous goods marks exhibited stronger warning information and drew more attention from the subjects. Simultaneously, dangerous goods marks elicited insufficient emotional arousal in individuals. Therefore, these findings suggest that the designs of dangerous goods marks need to be improved, such as improving the graphic consistency. Changes in ERP patterns can be used to measure the risk perception level of dangerous goods marks, which can be used as an accurate indicator of the effectiveness of warning sign design. In addition, this study provides a theoretical foundation for the cognitive understanding mechanism of dangerous goods marks.

Indexed as

ElectroencephalographyEvoked PotentialsEmotionsHumansMental ProcessesRecognition, Psychologydangerous goods marksERPshazard perceptiontraffic psychologytraffic safety

Identifiers

PMID36982102
PMCPMC10049231
OpenAlexW4327620702

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read1
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.