航空学报 > 2017, Vol. 38 Issue (S1): 721525-721525   doi: 10.7527/S1000-6893.2017.721525

空中交通管制员的眼动行为与疲劳关系

卜建, 刘银鑫, 王艳军   

  1. 南京航空航天大学 民航学院 国家空管飞行流量管理技术重点实验室, 南京 211106
  • 收稿日期:2017-05-25 修回日期:2017-07-07 出版日期:2017-11-30 发布日期:2017-07-07
  • 通讯作者: 王艳军 E-mail:ywang@nuaa.edu.cn
  • 基金资助:

    国家自然科学基金(61304190);江苏省自然科学基金(BK20130818)

Relationship between air traffic controllers' eye movement and fatigue

BU Jian, LIU Yinxin, WANG Yanjun   

  1. National Key Laboratory of Air Traffic Flow Management, College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2017-05-25 Revised:2017-07-07 Online:2017-11-30 Published:2017-07-07
  • Supported by:

    National Natural Science Foundation of China (61304190); Natural Science Foundation of Jiangsu Province (BK20130818)

摘要:

在空中交通管制工作中,管制疲劳程度度量是一项需要长期研究的重要课题。实时测量管制员的疲劳程度,对航空运输系统的安全运行有重要意义。提出以眼动行为特征指标作为反映管制员疲劳程度的依据,利用faceLAB 5.0系统记录了管制员在正常状态和疲劳状态下进行管制模拟实验的眼动数据和绩效数据,分析了管制员的绩效数据与眨眼频率和瞳孔直径两种眼动指标在不同状态下的变化规律。研究发现与正常状态相比,管制员在疲劳状态下的眨眼频率增加,瞳孔直径减小。随着任务时间的增加,被试的绩效变差,眨眼频率增加,瞳孔直径减小,表明被试的工作状态从正常状态转为疲劳状态。统计分析结果说明,眨眼频率和瞳孔直径能够有效地检测管制员的疲劳状态,充分刻画不同工作时段管制员工作状态的变化,为开发实用的疲劳监测系统提供理论基础。

关键词: 空中交通管制, 管制疲劳, 眼动特征, 瞳孔直径, 眨眼频率

Abstract:

The assessment of air traffic controllers' fatigue is an important research topic which needs sustainable efforts. The real-time measurement of controller's fatigue has important implications for the safe operation of air transport system. This paper proposes to use eye movements to measure air traffic controllers fatigue, in which the eye movement data in normal and fatigue states are collected using faceLAB5.0 system. The performance data, eye blink frequency, and pupil diameter of the controllers are compared and analyzed. The experiment results show that compared with normal state when controller felt fatigue (i) blink frequency is increased; (ii) the pupil diameter is reduced. With the increase of task time, the performance of the subjects deteriorate, the blink frequency increase, and the pupil diameter decrease, indicating the changing of working state from normal state to fatigue state. The study shows that blink frequency and pupil diameter can effectively indicate fatigue state of the controller and can fully depict the influence of different working periods on the working status of the controller, and thus provides a theoretical basis for developing a practical fatigue monitoring system.

Key words: air traffic control, control fatigue, eye movements, pupil diameter, blink frequency

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