Offshore petroleum platforms present complex, time-sensitive situations that can make emergency evacuations difficult to manage. Virtual environments (VE) can train safety-critical tasks and help prepare personnel to respond to real-world offshore emergencies. Before industries can adopt VE training, its utility must be established to ensure the technology provides effective training. This paper presents the results of two experiments that investigated the training utility of VE training. The experiments focused particularly on determining the most appropriate method to deliver offshore emergency egress training using a virtual environment. The first experiment used lecture-based teaching (LBT). The second experiment investigated the utility of a simulation-based mastery learning (SBML) pedagogical method from the medical field to address offshore emergency egress training. Both training programs (LBT and SBML) were used to train naïve participants in basic onboard familiarization and emergency evacuation procedures. This paper discusses the training efficacy of the SBML method in this context and compares the results of the SBML experimental study to the results of the LBT training experiment. Efficacy of the training methods is measured by a combination of time spent training and performance achieved by each of the training groups. Results show that the SBML approach to VE training was more time effective and produced better performance in the emergency scenarios. SBML training can help address individual variability in competence. Limitations to the SBML training are discussed and recommendations to improve the delivery of SBML training are presented. Overall, the results indicate that employing SBML training in industry can improve human reliability during emergencies through increased competence and compliance.
Skip Nav Destination
Article navigation
March 2019
Research-Article
A Better Way to Train Personnel to Be Safe in Emergencies
Jennifer Smith,
Jennifer Smith
Faculty of Engineering and Applied Science,
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
e-mail: jennifersmith@mun.ca
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
e-mail: jennifersmith@mun.ca
Search for other works by this author on:
Brian Veitch
Brian Veitch
Faculty of Engineering and Applied Science,
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
Search for other works by this author on:
Jennifer Smith
Faculty of Engineering and Applied Science,
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
e-mail: jennifersmith@mun.ca
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
e-mail: jennifersmith@mun.ca
Brian Veitch
Faculty of Engineering and Applied Science,
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
Memorial University of Newfoundland,
St. John's, NL A1B 3X5, Canada
1Corresponding author.
Manuscript received September 29, 2017; final manuscript received February 14, 2018; published online August 14, 2018. Assoc. Editor: Faisal Khan.
ASME J. Risk Uncertainty Part B. Mar 2019, 5(1): 011003 (6 pages)
Published Online: August 14, 2018
Article history
Received:
September 29, 2017
Revised:
February 14, 2018
Citation
Smith, J., and Veitch, B. (August 14, 2018). "A Better Way to Train Personnel to Be Safe in Emergencies." ASME. ASME J. Risk Uncertainty Part B. March 2019; 5(1): 011003. https://doi.org/10.1115/1.4040660
Download citation file:
Get Email Alerts
Cited By
Survival signature-based structural importance analysis of multi-state system with binary-state components
ASME J. Risk Uncertainty Part B
Propagation of systematic sensor uncertainty into the frequency domain
ASME J. Risk Uncertainty Part B
Heuristic-based recommendation system for dealing with abnormal situations in industrial applications
ASME J. Risk Uncertainty Part B
Optimizing Battery Maintenance and Reliability in Ground Control Station for Tethered High-Altitude Platforms
ASME J. Risk Uncertainty Part B (June 2025)
Related Articles
Using Simulator Data to Facilitate Human Reliability Analysis
J. Offshore Mech. Arct. Eng (April,2019)
Emergency Response Guidance for Reactor Vessel Pressurized Thermal
Shock Events
J. Pressure Vessel Technol (August,1986)
Technical Communication During Nuclear and Radiological Emergencies With the Tools to Support International Assessment and Prognosis
ASME J of Nuclear Rad Sci (April,2019)
Probabilistic Pressurized Thermal Shock Analysis for a Reactor Pressure Vessel Considering Plume Cooling Effect
J. Pressure Vessel Technol (August,2016)
Articles from Part A: Civil Engineering
Model Distance–Based Global–Local Response-Sensitivity Indexes for Randomly Inhomogeneous Structures under Stochastic Excitations
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (September,2018)
Research on Freight Train Operation Control Simulation on Long Steep Downhill Lines
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (September,2021)
Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (March,2021)
Bivariate Severity Analysis of Train Derailments using Copula-Based Regression Models
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (December,2018)
Related Proceedings Papers
Related Chapters
A PSA Update to Reflect Procedural Changes (PSAM-0217)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Link between Level 2 PSA and Off-Site Emergency Preparedness (PSAM-0363)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Develop of New Online Logistics Learning Platform Features - Integration of the Taiwan Train Quality Scorecard and the Kano Model
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)