Haslbeck Andreas, Zhang Bo
Institute of Ergonomics, Technical University of Munich, Munich, Germany.
Institute of Ergonomics, Technical University of Munich, Munich, Germany; Centre for Transport Studies, University of Twente, Enschede, The Netherlands.
Appl Ergon. 2017 Sep;63:62-71. doi: 10.1016/j.apergo.2017.03.015. Epub 2017 Apr 12.
The aim of this study was to analyze pilots' visual scanning in a manual approach and landing scenario. Manual flying skills suffer from increasing use of automation. In addition, predominantly long-haul pilots with only a few opportunities to practice these skills experience this decline. Airline pilots representing different levels of practice (short-haul vs. long-haul) had to perform a manual raw data precision approach while their visual scanning was recorded by an eye-tracking device. The analysis of gaze patterns, which are based on predominant saccades, revealed one main group of saccades among long-haul pilots. In contrast, short-haul pilots showed more balanced scanning using two different groups of saccades. Short-haul pilots generally demonstrated better manual flight performance and within this group, one type of scan pattern was found to facilitate the manual landing task more. Long-haul pilots tend to utilize visual scanning behaviors that are inappropriate for the manual ILS landing task. This lack of skills needs to be addressed by providing specific training and more practice.
本研究的目的是分析飞行员在手动进近和着陆场景中的视觉扫描情况。随着自动化设备使用的增加,手动飞行技能逐渐退化。此外,主要是长途飞行的飞行员,由于只有很少的机会练习这些技能,所以体验到了这种技能下降。代表不同练习水平(短途与长途)的航空公司飞行员必须执行手动原始数据精确进近,同时他们的视觉扫描由眼动追踪设备记录。基于主要扫视的注视模式分析显示,长途飞行的飞行员中有一组主要的扫视。相比之下,短途飞行的飞行员使用两组不同的扫视显示出更平衡的扫描。短途飞行的飞行员总体上表现出更好的手动飞行性能,在这一组中,发现一种扫描模式更有助于手动着陆任务。长途飞行的飞行员倾向于使用不适用于手动仪表着陆系统着陆任务的视觉扫描行为。这种技能的缺乏需要通过提供特定的训练和更多的练习来解决。