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为了研究飞行员在各个阶段的视觉特征,构建了以固定式飞行模拟器为基础、采用先进的非接触式眼动仪FaceLAB4.0采集数据的实验测试平台.根据飞行员获取信息的来源将视觉区域划分为舱内仪表盘、前窗舱外景和其他3个部分,应用马尔科夫链的数学方法分析被试者的视觉注视数据在各视觉区域内的状态转移概率.研究发现,被试在观察舱内仪表盘和前窗舱外景区域时,无法在短时间内获得全部信息,需要长时间注视才能完成信息获取.该方法可用于分析飞行员在操作中的视觉注意力和注意力转移模式.
In order to study the visual characteristics of pilots at all stages, an experimental test platform based on fixed flight simulator and using advanced non-contact eye tracker FaceLAB4.0 was constructed.According to the pilot’s source of information, For the dashboard, front cabin exterior and other three sections, the Markov chain mathematical method was used to analyze the probability of state transition of the subject’s visual fixation data in each visual field.The study found that subjects in the observation cabin Internal dashboard and fore-wind cabin exterior areas, it is not possible to obtain all the information in a short period of time and requires a long time to complete the acquisition of information. This method can be used to analyze the pilot’s visual attention and attention transfer patterns in operation.