Evidence map›Paper›PMID 38169868›Full record

ArticleJournal of eye movement research2023

An Eye Tracking Based Framework for Safety Improvement of Offshore Operations.

Muhammad A Raza, Raj Kiran, Saima Ghazal, Ziho Kang, Saeed Salehi, Edward Cokely, Jiwon Jeon

Abstract read
In one paragraph

Article in Journal of eye movement research, 2023. 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
–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

1 citing paper in PubMed.

  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.

Muhammad A RazaUniversity of Engineering & Technology, Lahore, Pakistan.
Raj KiranSchool of Petroleum and Geological Eng., University of Oklahoma, USA.
Saima GhazalInst. of Applied Psychology, University of the Punjab, Pakistan.
Ziho KangDepartment of Industrial & Systems Eng., University of Oklahoma, USA.
Saeed SalehiSchool of Petroleum and Geological Eng., University of Oklahoma, USA.
Edward CokelyDepartment of Psychology, University of Oklahoma, USA.
Jiwon JeonDepartment of Industrial & Systems Eng., University of Oklahoma, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Offshore drilling operations consist of complex and high-risk processes. Lack of situational awareness in drilling operations has become an important human factor issue that causes safety accidents. Prolonged work shifts and fatigue are some of the crucial issues that impact performance. Eye tracking technology can be used to distinguish the degree of awareness or alertness of participants that might be related to fatigue or onsite distractions. Oculomotor activity can be used to obtain visual cues that can quantify the drilling operators' situational awareness that might enable us to develop warning alarms to alert the driller. Such systems can help reduce accidents and save non-productive time. In this paper, eye movement char-acteristics were investigated to differentiate the situational awareness between a representa-tive expert and a group of novices using a scenario-based Virtual Reality Drilling Simulator. Significant visual oculomotor activity differences were identified between the expert and the novices that indicate an eye-tracking based system can detect the distraction and alert-ness exhibited by the workers. Results show promise on developing a framework which implements a real-time eye tracking technology in various drilling operations at drilling rigs and Real Time Operation Centers to improve process safety.

Indexed as

Eye trackinggazeindividual differencesoffshore operationssaccadessafetysituational awareness

Identifiers

PMID38169868
PMCPMC10759243

What OpenQuestion holds

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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.