Evidence map›Paper›PMID 36231916›Full record

ArticleInternational journal of environmental research and public health2022

ERP Study of Mine Management System Warning Interface under Fatigue.

Yuxin Bai, Jiang Shao, Ying Zhang, Lulu Chen, Xijie Zhao, Fangyuan Tian, Chengqi Xue

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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 at 3 institutions in 1 country.

Yuxin BaiSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-3518-0959
Jiang ShaoSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0001-9760-4182
Ying ZhangSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China.
Lulu ChenSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China.
Xijie ZhaoSchool of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China.
Fangyuan TianSchool of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Chengqi XueSchool of Mechanical Engineering, Southeast University, Nanjing 211189, China.
China University of Mining and Technology · CNSoutheast University · CNXi'an University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the large volume of monitoring data in mines, concentrating on and reviewing the data for a long period of time will easily cause fatigue. To study the influence of different visual codes of early-warning interfaces on the response of individuals who are fatigued, the changes in the subjective fatigue and corresponding frequency waves are compared before and after a fatigue-inducing task, as well as using event-related potential to study the behavioral data and EEG signals of subjects who participated in an oddball task on an early-warning interface. The results showed that all 14 subjects became fatigued after the fatigue-inducing task, and the amplitude of P200 when text is used in a fatigued state was the largest, with the longest latency. The subjects showed a slower reaction time and a reduced accuracy rate, thus indicating that in designing a warning interface, when text rather than color is used as a visual code, the operating load will be larger, mental load is increased, and attention resources are consumed. The experimental results provide the basis for the design and evaluation of early-warning interfaces of mine management systems.

Indexed as

Evoked PotentialsMental FatigueAttentionElectroencephalographyFatigueHumansReaction Timeearly-warning interfaceevent-related potentialfatiguemine management system

Identifiers

PMID36231916
PMCPMC9565217
OpenAlexW4303696396

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.