摘要
眼睛是人类获取外部信息最重要的通道之一.空中管制员通过监视雷达屏幕获取空中交通的关键信息,作出管制策略.信息获取的高效和正确是合理制定管制方案的基础.因此,研究管制员的眼动行为对与空中交通运行安全和效率具有重要意义.研究以管制员为对象,研究了管制员在不同管制场景下的眼动行为和生理行为特征.利用faceLAB眼动仪和BFB2000生理参数仪采集管制员在管制实验中的眼动数据和生理数据,使用TDS算法与MF-DFA算法对管制员眼动数据与生理数据进行了深入分析.结果表明,眼动行为中瞳孔直径、眨眼频率两指标分别与生理系统中肌电、皮电、皮温和脉搏指标有强关联性,眼动行为影响生理参数稳定性变化;管制员过去的注视行为会影响未来的注视行为;随着航空器数量的增加会导致管制员抗外界干扰能力的减弱.为进一步评估管制效率、提高管制员培训质量等奠定了基础.
Eyes are the most important access for human to obtain external information.Air traffic controllers use surveillance radar screens to obtain critical information about air traffic and make control strategies.Efficient and correct access to information is the basis for a sound regulatory plan.Studying the eye movements of controllers is of great significance to the safety and efficiency of air traffic operations.This paper took the air traffic controllers as the research object,and research the eye movement and physiological behavior characteristics of the controllers under different scenarios.First,the faceLAB eye tracker and BFB2000 physiological parameter meter were used to collect the air traffic controller s eye movement data and physiological data in the experiment,and the TDS algorithm and MF-DFA algorithm were used to analyze the air traffic controller s eye movement data and physiological data.The results showed that:the two parameters of pupil diameter and blink frequency in eye movement behavior were strongly related to the electromyography,skin electricity,skin temperature and pulse indicators in the physiological system,and eye movement behavior affected the stability of physiological parameters;the air traffic controllers past gaze behavior will affect future gaze behavior;as the number of aircraft increases,the air traffic controller s ability to resist external interference will weaken.This paper laid the foundation for further evaluation of control efficiency and improvement of air traffic controller training quality.
作者
林思远
胡荣锦
张美玉
王艳军
LIN Si-yuan;HU Rong-jin;ZHANG Mei-yu;WANG Yan-jun(School of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;National Key Laboratory of Air Traffic Flow Management,Nanjing 211106,China;Beijing Aviation Co.,Ltd.,Beijing 100621,China)
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2020年第3期315-322,共8页
Journal of Harbin University of Commerce：Natural Sciences Edition
基金
国家自然科学基金(U1833126)。
作者简介
林思远(1996-),男,硕士研究生,研究方向:空管中的人为因素、人机交互等.
