标题： 从海洋到系统：探索以用户为中心的可解释人工智能在海事决策支持中的应用 显示英文标题

标题： From Sea to System: Exploring User-Centered Explainable AI for Maritime Decision Support

摘要： 随着自主技术日益塑造海上操作，理解人工智能系统为何做出决策，与它做出的决策同样重要。 在复杂且动态的海上环境中，对人工智能的信任不仅取决于性能，还取决于透明度和可解释性。 本文强调了可解释人工智能（XAI）在海上领域有效的人机协作中的基础作用，其中知情监督和共同理解是必不可少的。 为了支持以用户为中心的XAI集成，我们提出了一项领域特定的调查，旨在捕捉海上专业人员对信任、可用性和可解释性的看法。 我们的目标是促进意识提升，并指导针对海员和海上团队需求的以用户为中心的XAI系统的开发。 显示英文摘要

摘要： As autonomous technologies increasingly shape maritime operations, understanding why an AI system makes a decision becomes as crucial as what it decides. In complex and dynamic maritime environments, trust in AI depends not only on performance but also on transparency and interpretability. This paper highlights the importance of Explainable AI (XAI) as a foundation for effective human-machine teaming in the maritime domain, where informed oversight and shared understanding are essential. To support the user-centered integration of XAI, we propose a domain-specific survey designed to capture maritime professionals' perceptions of trust, usability, and explainability. Our aim is to foster awareness and guide the development of user-centric XAI systems tailored to the needs of seafarers and maritime teams.