基于EEG的驾驶舱告警信息设计研究  

Design of Cockpit Warning Information Based on EEG

作　　者：吴薇 孙有朝[1] 张夏 WU Wei;SUN You-chao;ZHANG Xia(College of Civil Aviation,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学民航学院,南京211106

出　　处：《航空电子技术》2022年第4期17-23,共7页Avionics Technology

基　　金：国家自然科学基金委员会-中国民用航空局民航联合研究基金项目(U2033202,U1333119);国家自然科学基金项目(52172387);中央高校基本科研业务费(1007-XBC22006)。

摘　　要：针对直升机驾驶舱人机交互中认知负荷问题,设计飞行模拟试验,探究视觉和听觉告警对飞行员认知负荷的影响。基于多元线性回归方法,通过主观评价结果、反应时间、准确率和脑电信号等指标,构建了直升机驾驶舱人机交互认知负荷评估模型。结果表明文字颜色、语音提示两种告警特征对飞行员信息加工均会产生影响,使用多元线形回归模型可对不同告警方式下受试对象的认知负荷水平进行评估,构建的评估模型能够较准确地评估直升机驾驶舱中飞行员的认知负荷,可为优化驾驶舱交互设计、降低飞行员认知负荷、减少人为差错提供依据。Aiming at the cognitive load of civil aircraft cockpit interaction, a flight simulation test has been designed to explore the effects of visual and auditory warnings on the cognitive load of pilots. Based on multiple linear regression method, the cognitive load assessment model of aircraft cockpit interaction is constructed by subjective evaluation results, reaction time, accuracy and EEG signals. The results show that the two warning features, text color and voice prompt, have an impact on pilot information processing. The results show that the multiple linear regression model can evaluate the cognitive load of subjects under different warnings. The evaluation model can accurately evaluate the cognitive load of pilots in civil aircraft cockpit. The results can provide a basis for optimizing cockpit interaction design,reducing pilot’s cognitive load and reducing human error.

关 键 词：驾驶舱告警 EEG 信息编码 认知负荷 

分 类 号：V223.1[航空宇航科学与技术—飞行器设计]