管制员信息加工水平鉴别技术及影响机制

doi:10.16265/j.cnki.issn1003-3033.2018.06.005

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (6): 25-30.doi: 10.16265/j.cnki.issn1003-3033.2018.06.005

管制员信息加工水平鉴别技术及影响机制

李敬强^1,2 助理研究员, 李康^1,2, 王勇³, 赵宁^1,2

1 国家空管运行安全技术重点实验室,天津 300300;
2 中国民航大学民航安全科学研究所,天津 300300;
3 中国民用航空局空中交通管理局天津分局,天津 300300

收稿日期:2018-03-04 修回日期:2018-05-05 出版日期:2018-06-28 发布日期:2020-11-25
作者简介:李敬强(1976—),男,天津人,博士,助理研究员,主要从事航空人因风险评估与安全管理等方面的教学和科研工作。E-mail:ljqtianjin@126.com。
基金资助:
教育部人文社会科学青年基金资助(15YJC190008);中央高校基本科研业务费项目中国民航大学专项(3122017014)。

Research on identification technology and influence mechanism ofinformation processing levels of controllers

LI Jingqiang^1,2, LI Kang^1,2, WANG Yong³, ZHAO Ning^1,2

1 National Key Laboratory of Air Traffic Operation Safety Technology,Tianjin 300300,China;
2 Research Institute of Civil Aviation Safety,Civil Aviation University of China,Tianjin 300300,China;
3 Air Traffic Management Bureau of Tianjin,Civil Aviation Administration of China,Tianjin 300300,China

Received:2018-03-04 Revised:2018-05-05 Online:2018-06-28 Published:2020-11-25

摘要/Abstract

摘要： 为提高管制员信息加工水平的鉴别效率,以提升管制运行安全水平,首先分析管制工作信息加工过程,基于作业测验,设计管制员信息加工水平测验工具,依据信号检测理论(SDT)中的敏感性指标d与倾向性指标β来鉴别管制员信息加工水平;然后,通过实例进行聚类分析,并运用回归分析方法探究管制员神经系统特性对d、β的影响。结果表明:d、β分别是管制员信息加工能力与信息加工倾向的鉴别指标,管制员信息加工水平可聚类为3类,管制员神经系统的强度、灵活性能正向预测其信息加工能力,平衡性能负向预测其信息加工倾向。

关键词: 管制员, 信息加工水平, 神经系统特性, 信号检测理论(SDT), 敏感性, 倾向性

Abstract: In order to improve the efficiency of identifying information processing levels of controllers,and help to improve the safety level of air traffic control operation,based on the principle of performance test,a test was designed to analyze the information processing level of controllers on the basis of analyzing the information processing process of air traffic control work.According to the SDT,the sensitivity index d and the bias index β were used to identify the information processing levels of controllers.The classification of controllers was analyzed by cluster analysis through examples and the effects of nervous system characteristics on both d and β were analyzed by regression analysis.The results show that d and β are the effective identification index of information processing ability and the effective identification index of information processing bias respectively,that the information processing level of controllers can be classified into three categories,and that the strength and flexibility of controllers can positively predict the information processing ability,and the balance can negatively predict the information processing bias.

Key words: controllers, information processing level, nervous system characteristics, signal detection theory(SDT), sensitivity, tendentiousness

中图分类号:

X910

李敬强, 李康, 王勇, 赵宁. 管制员信息加工水平鉴别技术及影响机制[J]. 中国安全科学学报, 2018, 28(6): 25-30.

LI Jingqiang, LI Kang, WANG Yong, ZHAO Ning. Research on identification technology and influence mechanism ofinformation processing levels of controllers[J]. China Safety Science Journal, 2018, 28(6): 25-30.

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管制员信息加工水平鉴别技术及影响机制

Research on identification technology and influence mechanism ofinformation processing levels of controllers

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