TY - GEN
T1 - VR-based Training on Handling LNG Related Emergency in the Maritime Industry
AU - Liu, Yisi
AU - Lan, Zirui
AU - Tschoerner, Benedikt
AU - Virdi, S. S.
AU - Li, Fan
AU - Cui, Jian
AU - Sourina, Olga
AU - Zhang, Daniel
AU - Muller-Wittig, Wolfgang
N1 - Funding Information:
This research is supported by the National Research Foundation, Singapore under its International Research Centres in Singapore Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - The maritime industry is switching to new types of fuel such as Liquefied Natural Gas (LNG). On one hand, these kinds of fuel are more sustainable to the environment, on the other hand, training on handling such fuel safely and dealing with emergency situation is necessary. Videos and lecture-based learning is commonly used to deliver such knowledge to the maritime trainees. In recent years, the advances in Virtual Reality (VR) have brought new opportunities to such training. It provides an immersive while safe environment for training on certain operations that are extraordinary or dangerous in real life. It also allows the learners to practice the tasks repeatedly. The VR-based training is mostly used for improving technical skills, however, to guarantee a more efficient and better assessment of trainee's performance, nontechnical skills such as decision making, situation awareness, vigilance are needed to be assessed and trained as well. In this paper, a VR-based LNG evacuation training system is presented. The system provides two training scenarios for learning the evacuation procedure. A novel human factors evaluation based on the behavioral data captured by VR was proposed and integrated with the training, which includes both technical and non-Technical skills assessment. An experiment with 14 subjects was conducted to validate the human factors evaluation and to get feedback towards the VR-based training.
AB - The maritime industry is switching to new types of fuel such as Liquefied Natural Gas (LNG). On one hand, these kinds of fuel are more sustainable to the environment, on the other hand, training on handling such fuel safely and dealing with emergency situation is necessary. Videos and lecture-based learning is commonly used to deliver such knowledge to the maritime trainees. In recent years, the advances in Virtual Reality (VR) have brought new opportunities to such training. It provides an immersive while safe environment for training on certain operations that are extraordinary or dangerous in real life. It also allows the learners to practice the tasks repeatedly. The VR-based training is mostly used for improving technical skills, however, to guarantee a more efficient and better assessment of trainee's performance, nontechnical skills such as decision making, situation awareness, vigilance are needed to be assessed and trained as well. In this paper, a VR-based LNG evacuation training system is presented. The system provides two training scenarios for learning the evacuation procedure. A novel human factors evaluation based on the behavioral data captured by VR was proposed and integrated with the training, which includes both technical and non-Technical skills assessment. An experiment with 14 subjects was conducted to validate the human factors evaluation and to get feedback towards the VR-based training.
KW - human factors
KW - maritime
KW - non-Technical skills
KW - Virtual Reality
UR - http://www.scopus.com/inward/record.url?scp=85123379708&partnerID=8YFLogxK
U2 - 10.1109/CW52790.2021.00035
DO - 10.1109/CW52790.2021.00035
M3 - Conference article published in proceeding or book
AN - SCOPUS:85123379708
T3 - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
SP - 159
EP - 165
BT - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
A2 - Sourin, Alexei
A2 - Rosenberger, Christophe
A2 - Sourina, Olga
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Cyberworlds, CW 2021
Y2 - 28 September 2021 through 30 September 2021
ER -