taptap下载安装安卓学报 ›› 2026, Vol. 44 ›› Issue (3): 9-15.

• 民机安全性与适航 • 上一篇    下一篇

民航飞行员注意品质测评方法研究及应用

  

  1. (taptap下载安装安卓安全科学与工程学院,天津 300300)
  • 收稿日期:2025-08-16 修回日期:2025-12-20 出版日期:2026-06-30 发布日期:2026-07-03
  • 作者简介:汪磊(1982— ),男,安徽六安人,研究员,博士,研究方向为航空安全与人因. 
  • 基金资助:
    民航安全能力建设资金项目(2022FS0013)

Study and application of attention quality assessment methods for civil aviation pilots

  1. (College of Safety Science and Engineering, CAUC, Tianjin 300300, China)
  • Received:2025-08-16 Revised:2025-12-20 Online:2026-06-30 Published:2026-07-03

摘要: 为提升民航飞行安全水平,本文针对飞行员注意品质的测评方法进行了系统研究。采用自主研发的测评系 统,从注意广度、注意稳定、注意分配和注意转移4个维度对56名民航飞行员进行测评,并结合心理运动 能力与警觉性指标,运用相关分析和K-means聚类算法分析各维度间关联性及群体特征。结果显示,注意 品质测评的重测相关系数为0.763~0.984,克伦巴赫 α系数为0.621 8~0.831 9,分半信度系数为 0.703 3~ 0.853 6,平均方差抽取量(AVE,average variance extracted)为 0.601 3,表明测评工具具有良好的信度与效 度。注意稳定与注意分配(r=0.404 3,p < 0.001)、注意转移与注意广度(r = 0.363 8,p < 0.001)、注意转移 与心理运动能力(r=0.467 4,p < 0.001)均呈显著正相关。聚类分析将飞行员分为两类,第1类在各子维度 得分均低于第2类。该测评方法可为飞行员的选拔与训练提供有效工具和理论参考。

关键词: 飞行员, 注意品质, 测评方法, 飞行安全

Abstract: To enhance civil aviation flight safety, this paper systematically studies the assessment methods for pilots′ at鄄 tention quality. A self-developed assessment system was employed to evaluate 56 civil aviation pilots on atten鄄 tion breadth, attention stability, attention allocation and attention shifting. Combined with psychomotor ability and vigilance indicators, correlation analysis and K-means clustering algorithm were used to analyze the corre鄄 lation among various dimensions and group characteristics. The results showed that the test-retest correlation coefficients of the attention quality assessment ranged from 0.763 to 0.984, Cronbach′s α coefficients ranged from 0.621 8 to 0.831 9, split-half reliability coefficients ranged from 0.703 3 to 0.853 6, and the average variance extracted (AVE) was 0.601 3, confirming the assessment tools′ good reliability and validity. Signifi鄄 cant positive correlations were found between attention stability and attention allocation (r = 0.404 3, p < 0.001), attention shifting and attention breadth (r = 0.363 8, p < 0.001), as well as attention shifting and psy鄄 chomotor ability (r = 0.467 4, p < 0.001). Pilots were divided into two categories by cluster analysis, and the scores of the first category were lower than those of the second category in all sub-dimensions. These assess鄄 ment methods provide effective tools and theoretical references for pilot selection and training.

Key words:  pilot, attention quality, assessment method, flight safety

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