Pilot Research of AI-Generated Scenarios in Nautical Simulator Training Using ChatGPT Plus
This study presents a pilot research into the use of artificial intelligence (AI) for generating training scenarios in nautical simulators, focusing on their potential to support competency-based maritime training. AI-generated scenarios were created using ChatGPT Plus, following the guidelines of IMO Model Course 1.22 and STCW Convention A-II/1. These scenarios were developed by three scenarists with different levels of maritime expertise and subsequently evaluated by five MET experts. The evaluation process incorporated Multi-Criteria Analysis (MCA) and Intraclass Correlation Coefficient (ICC) to assess scenario complexity, assessment methodology, and compliance with maritime training standards. The study explores the strengths and limitations of AI-generated scenarios and considers the role of expert feedback in refining AI-assisted content. The findings contribute to the ongoing discussion on the applicability of AI in maritime education and highlight directions for further research, particularly in validating AI-generated training scenarios in real-world simulator environments.
Authors
- Ivan Petrović (ORCID: https://orcid.org/0000-0001-9961-5627)
- Igor Stanovčić
- Ivan Mrakovic (ORCID: https://orcid.org/0000-0001-7807-3558)
- Vera Kapetanovic
- Dejana Pudar
Institutions
- University of Montenegro (ME)
Publication Details
- Journal
- TransNav the International Journal on Marine Navigation and Safety of Sea Transportation
- Published
- 2025-01-01
- DOI
- https://doi.org/10.12716/1001.19.01.36
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00