ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Relationship between air traffic controllers' eye movement and fatigue
Received date: 2017-05-25
Revised date: 2017-07-07
Online published: 2017-07-07
Supported by
National Natural Science Foundation of China (61304190); Natural Science Foundation of Jiangsu Province (BK20130818)
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
BU Jian , LIU Yinxin , WANG Yanjun . Relationship between air traffic controllers' eye movement and fatigue[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(S1) : 721525 -721525 . DOI: 10.7527/S1000-6893.2017.721525
[1] GUZZETT J B. FAA's controller scheduling practices can impact human fatigue, controller performance, & agency costs[R]. Washington, D.C.: FAA, 2013.
[2] PAPE A M, WIEGMANN D A, SHAPPELL S. Air traffic control (ATC) related accidents and incidents: A human factors analysis[C]//Proceeding of 11th International Symposium on Aviation Psychology, 2001: 1-4.
[3] GANDER P. Fatigue management in air traffic control: The New Zealand approach[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2001, 4(1): 49-62.
[4] 牛清宁, 周志强, 金立生. 基于眼动特征的疲劳驾驶检测方法[J]. 哈尔滨工程大学学报, 2015, 36(3): 394-398. NIU Q N, ZHOU Z Q, JIN L S. Detection of driver fatigue based on eye movements[J]. Journal of Harbin Engineering University, 2015, 36(3): 394-398(in Chinese).
[5] KECKLUND G, AKERSTEDT T. Sleepiness in long distance truck driving: An ambulatory EEG study of night driving[J]. Ergonomics, 1993, 36(9): 1007-1017.
[6] LAL S, CRAIG A. Physiological indicators of driver fatigue[C]//Road Safely Research, Policing and Education Conference, 2000: 489-494.
[7] 杨渝书, 姚振强, 李增勇. 心电图时频域指标在驾驶疲劳评价中的有效性研究[J]. 机械设计与制造,2002(5): 94-95. YANG Y S, YAO Z Q, LI Z Y. Investigation on correlation between ECG indexes and driving fatigue[J]. Machinery Design & Manufacture, 2002(5): 94-95(in Chinese).
[8] 毛科俊, 赵晓华, 刘小明. 基于脑电分析的驾驶疲劳预报研究[J]. 人类工效学, 2009, 15(4): 25-29. MAO K J, ZHAO X H, LIU X M. The study of driver fatigue prediction based on the EGG analysis[J]. Ergonomics, 2009, 15(4): 25-29(in Chinese).
[9] STERN J A, BOYER D,SCHROEDER D. Blink rate: A possible measure of fatigue[J]. Huma Factors, 1994, 36(2): 285-297.
[10] SCHLEICHER R, GALLEY N, BRIEST S, et al. Blinks and saccades as indicators of fatigue in sleepiness warnings: Looking tired?[J]. Ergonomics, 2008, 51(7): 982-1010.
[11] IQBAL S T, BAILEY B P. Using eye gaze patterns to identify user tasks [C]//The Grace Hopper Celebration of Women in Computing, 2004: 1-6.
[12] HAISONG G, QIANG J. An automated face reader for fatigue detection[C]//2004 Proceedings Sixth IEEE International Conference on Automatic Face and Gesture Recognition. Piscataway, NJ: IEEE Press, 2004: 111-116.
[13] DI S L, MCCAMY M B, CATENA A, et al. Microsaccade and drift dynamics reflect mental fatigue[J]. European Journal of Neuroscience, 2013, 38(3): 2389-2398.
[14] VAN ORDEN K F, JUNG T P, MAKEIG S. Combined eye activity measures accurately estimate changes in sustained visual task performance[J]. Biological Psychology, 2000, 52(3): 221-240.
[15] 汪磊, 孙瑞山. 基于面部特征识别的管制员疲劳监测方法研究[J]. 中国安全科学学报, 2012, 22(7): 66-71. WANG L, SUN R S. Study on face feature recognition-based fatigue monitoring method for air traffic controller[J]. China Safety Science Journal, 2012, 22(7): 66-71(in Chinese).
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