Session 2D [Poster 7] Generative AI scenario development in Maritime Engineering Virtual Reality training

Presenters

Artem Ivanov – Lecturer Engineering Simulation

Dave D Muir – Lecturer
Abdulla Tahhan – Lecturer

Poster

Virtual reality combined with AI provides an immersive environment which motivates students due to the realistic nature of activities.

Introduction: Generative AI is used herein to develop transformative solutions to enhance the reliability and safety of marine operations. It holds immense potential in creating sophisticated training scenarios aimed at preventing ship blackouts that could lead to catastrophic accidents, such as the recent MV Dali incident. AI-driven simulations adapt to the trainee’s performance, providing personalized feedback and progressively increasing complexity to improve motivation and enhance learning outcomes.

Methods: To measure the effectiveness of generative AI-developed scenarios, pre- and post-training assessments, performance metrics such as response time, team coordination, and performance reviews are used in a virtual reality environment. The developed scenarios include various causes of blackouts, such as equipment malfunctions, allowing trainees to experience and respond to diverse challenges.

Results: The simulation of the MV Dali power system accident was used in scenario development. Immersing students in these AI-generated scenarios helps develop critical problem-solving skills, improve decision-making under pressure, and gain a deeper understanding of electrical system management. The results were used to recommend best practices for establishing a reliable configuration of a ship’s power generation system while conducting an in-depth risk analysis of potential failures.

Conclusion: Generative AI in training programs represents significant advancement in maritime safety, ensuring the protection of lives and infrastructure. AI-driven simulations can guide students on the appropriate competency-based actions required to prevent subsequent power losses and accelerate restoration of critical systems. This research is relevant to other courses across the University as it demonstrates the potential of AI in enhancing training in various fields.

References

https://www.ntsb.gov/investigations/Documents/DCA24MM031_PreliminaryReport%203.pdf

https://www.virtualmaritime.academy/the-role-of-virtual-reality-in-maritime-training/?v=7885444af42e

https://www.wartsila.com/marine/products/simulation-and-training/smart-realities

https://www.zdnet.com/article/generative-ai-in-naval-architecture-and-marine-engineering-small-proprietary-data-sets-limit-adoption/

https://link.springer.com/article/10.1007/s13437-015-0075-3

https://studylib.net/doc/27023883/motivation-and-expectation-of-freshmen-students-in-pursui

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