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 characteristics were investigated to differentiate the situational awareness between a representative 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 alertness 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.
Recommended Citation
M. A. Raza et al., "An Eye Tracking Based Framework For Safety Improvement Of Offshore Operations," Journal of Eye Movement Research, vol. 16, no. 3, article no. 2, MDPI, Jan 2023.
The definitive version is available at https://doi.org/10.16910/jemr.16.3.2
Department(s)
Mining Engineering
Publication Status
Open Access
Keywords and Phrases
Eye tracking; gaze; individual differences; offshore operations; saccades; safety; situational awareness
International Standard Serial Number (ISSN)
1995-8692
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 The Authors, All rights reserved.
Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2023

Comments
National Academy of Sciences, Grant 2000007356