Evidence map›Paper›PMID 35890794›Full record

ArticleSensors (Basel, Switzerland)2022

An Investigation on the Influence of Operation Experience on Virtual Hazard Perception Using Wearable Eye Tracking Technology.

Siyu Li, Yongqing Jiang, Chao Sun, Kangkang Guo, Xin Wang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
0.7field-weighted citation impact, top 28% 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, 8 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

5 authors at 1 institution in 1 country.

Siyu LiSchool of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Yongqing JiangSchool of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Chao SunSchool of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.ORCID 0000-0003-4183-7168
Kangkang GuoSchool of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.ORCID 0000-0002-4812-725X
Xin WangSchool of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Harbin University of Science and Technology · CN

Funding

Natural Science Foundation of Heilongjiang Province No. LH2020A016the National Natural Science Foundation of China No. 11704090
6 · The paper itself

Abstract

Poor electrical hazard recognition is a widespread issue in the production industry. Hazard perception has impacts workers' hazard recognition, causing them to experience unanticipated hazard exposure and suffer catastrophic injuries. To improve the factors of affecting hazard perception, the current study examined hazard recognition as an everyday visual search task. A comparative test was carried out combining the advantages and disadvantages of the two test methods. It was confirmed that the virtual image test data can replace the real image test data and demonstrate superior flexible settings performance, so the virtual image test method is used. A hazard perception test method based on wearable eye tracking technology was proposed to analyze the eye-tracking data (i.e., fixation, count, search duration, mean fixation duration, eye tracking, and hazard recognition performance feedback) were compared between experts in the field of electrical safety: skilled workers with at least five years of work experience and workers who had been on the job for less than a year. It was found that experts had a better hazard recognition accuracy and missed detection rate than other workers. Experts' hazards research track was more concised and paid less attention time. This advantage is most obvious in complex risk environments. The findings also suggest that workers who have different working years was not obvious visual search patterns other than the search duration. As can be seen the work experience is not an absolute factor in improving hazard perception. The present research will be useful to understand the influence of working years on hazard perception and provide a theoretical basis for corresponding training.

Indexed as

Eye-Tracking TechnologyWearable Electronic DevicesAttentionHumansPerceptioncognitiveelectrical safetyexperience leveleye-trackinghazard perceptionhazard recognitionvisual search

Identifiers

PMID35890794
PMCPMC9324423
OpenAlexW4284885132

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.