为了实现船员与船舶智能驾驶系统之间的信息交流和操作控制，研究船舶智能驾驶舱人机交互设计方法。基于认知负荷理论，构建船舶智能驾驶舱人机交互的信息加工模型，分析船员的认知资源。船员利用人机交互界面发出指令，利用卷积神经网络，选取tanh函数以及交叉熵损失函数作为激活函数与损失函数，输出人机交互界面的智能决策反馈。依据所生成的航行决策，以船员的注意资源为约束，选取视觉传达指数作为目标函数，获取符合船员操作习惯和视觉感受的人机交互界面设计结果。实验结果表明，采用该方法设计船舶智能驾驶舱人机交互界面，船员能够快速捕捉界面中的关键信息，缩短了船员获取信息到完成驾驶操作的时间成本。
In order to achieve information exchange and operational control between crew members and ship intelligent driving systems, a design method for human-machine interaction in ship intelligent driving cabins is studied. Based on cognitive load theory, construct an information processing model for human-machine interaction in ship intelligent cockpit, and analyze the cognitive resources of crew members. Crew members use the human-computer interaction interface to issue commands, use convolutional neural networks, select tanh function and cross entropy loss function as activation and loss functions, and output intelligent decision feedback of the human-computer interaction interface. Based on the generated navigation decisions and constrained by the attention resources of the crew, the visual communication index is selected as the objective function to obtain a human-machine interaction interface design result that conforms to the crew's operating habits and visual perception. The experimental results show that using this method to design the human-machine interaction interface of the ship's intelligent cockpit enables crew members to quickly capture key information in the interface, shortening the time cost from obtaining information to completing driving operations.
2024,46(22): 186-189 收稿日期：2024-3-6
DOI：10.3404/j.issn.1672-7649.2024.22.034
分类号：TP393
基金项目：2022年教育部产学合作协同育人项目（220904276285310）
作者简介：张贤(1990-),女,硕士,助理实验师,研究方向为交互设计
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