理解海事作业中操作员对AI支持决策的态度
Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations
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中文总结 AI 辅助
本研究通过问卷调查和情感分析，探讨海事操作员对AI辅助决策的态度，发现应通过透明可靠的设计支持校准依赖，而非单纯提高自动化或信任。
中文摘要 AI 辅助
海事自主水面船舶（MASS）和AI支持的决策辅助系统有望改变海事作业，但其安全集成取决于海事专业人员如何看待和信任此类系统。本文针对碰撞避免场景中海事利益相关者对AI支持辅助系统的态度进行了一项调查研究。参与者通过既定的和改编的问卷评估了技术焦虑、对自动化的信任和解释质量，并辅以对开放式回答的情感分析和主题分析。结果表明，参与者对海事技术总体持积极态度，开放性方面没有明显的年龄相关差异，跨场景的信任度保持稳定，而解释评分则更具场景敏感性且是多维度的。开放式回答显示，参与者重视系统对决策支持、态势感知和信心建立的作用，同时也提出了对AI可靠性、过度依赖和专业技能丧失的担忧。研究结果表明，海事AI系统不应仅专注于提高自动化程度或信任度，而应通过透明、可靠且在操作上有意义的设计，并让领域专家参与其中，来支持校准后的依赖。
英文摘要
Maritime Autonomous Surface Ships (MASS) and AI- supported decision assistants are expected to transform maritime operations, but their safe integration depends on how maritime professionals perceive and trust such systems. This paper presents a survey study on maritime stakeholders' attitudes toward an AI-supported assistant in collision-avoidance scenarios. Participants evaluated technology anxiety, trust in automation, and explanation quality using established and adapted questionnaires, complemented by sentiment and thematic analysis of open-ended responses Results indicate a generally positive disposition toward maritime technology, no clear age-related differences in openness, stable trust across scenarios, and more scenario-sensitive, multidimensional explanation ratings. Open responses showed that participants valued support for decision-making, situation awareness, and confidence-building, while raising concerns about AI reliability, over- reliance and loss of expertise. The findings suggest that maritime AI systems should not focus solely on increasing automation or trust, but on supporting calibrated reliance through transparent, reliable, and operationally meaningful design with domain experts in the loop.
发表机构
- University of Antwerp（安特卫普大学）
- Antwerp Maritime Academy（安特卫普海事学院）
机构由 AI 辅助整理，请以论文原文为准。
