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systems, such as automated monitor- may encounter at sea. world testing, this creates a more com- ing, advisory functions, and other smart As essential tools, virtual testing and plete picture of system performance. tools that enhance situational awareness both system-level and full-mission To improve transparency, consistency across vessel systems. bridge simulation allow developers and and trust, standardized virtual testing and
As operational experience increases, assessors to explore edge cases, stress evaluation frameworks could support higher levels of autonomy can be intro- conditions and rare events that would be more consistent assessment of system per- duced incrementally, expanding from dif? cult or unsafe to reproduce in physi- formance, while generating data to support decision support functions to more au- cal trials. When combined with real- regulatory decision-making for MASS.
tonomous capabilities across multiple shipboard domains.
Regulatory and technical requirements that apply a step-wise approach provide progressive assurance, testing and valida- tion at each stage, which ultimately sup- ports learning from real-world experience while also building trust among crew, op- erators, regulators and other stakeholders.
Bridging Human Factors Engineer- ing and Training Gaps
Human Factors Engineering (HFE) re- mains one of the most signi? cant chal- lenges in the progression toward au- tonomous maritime operations. While many emerging technologies must con- sider how they in? uence human activity, autonomy is fundamentally built around human involvement. Every autonomous function interacts with human decision- making, oversight and intervention, which means the human element cannot be treated as an afterthought.
Current HFE gaps for autonomous op- erations include insuf? cient focus on how people will supervise, interact and intervene in autonomous systems. There is also a lack of clear de? nitions or a common benchmark for evaluating au- tonomous navigation solutions.
Additionally, the pace of technologi- cal development is now outstripping the ability of onboard personnel to adapt.
Skills, competencies and training path- ways have not evolved at the same rate as the systems being introduced. This cre- ates a widening gap between what tech- nology can do and what the workforce is prepared to manage. Without targeted investment in training and human-centric design, this gap will continue to grow.
Veri? cation and validation remain at the heart of safety assurance for autono- mous technologies. Traditional testing alone cannot capture the full range of scenarios that an autonomous system www.marinetechnologynews.com 21
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