疲劳和应力对空中交通管制绩效的影响

Xingjian Zhang, Le-ping Yuan, Mo Zhao, Peng Bai
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引用次数: 1

摘要

疲劳和压力是空中交通管制员最常见的两种性能下降状态。它们可能对空中交通安全构成潜在威胁。为了分析它们对控制性能的影响特征,定义并分析了9个指标。设计了一个控制模拟实验,收集了22名参与者的控制性能数据,成功收集了19名参与者的数据。设计了清醒状态(SO)、疲劳状态(FA)、应力状态(ST)和疲劳与应力状态(FS)四种状态。根据空中交通管制员培训规程,设计并分析了反应时间平均值(RT_AVG)、反应时间标准差(RT_SD)、无线电话通信(RC)、检查设备(CE)、飞行进度条(FPS)、安全意识(SAA)、安全间隔(SAI)、指令时刻(IM)、态势感知(SIA)等9个指标。根据控制器的实验过程记录,计算RT,并根据具体规则对其他指标进行分级。分析结果表明,除CE和SAA外,其他指标在4个州间均存在显著差异。疲劳对控制器的RT_AVG、RT_SD、RC、IM和SIA性能有显著影响。应力作用下,RT_SD、RC、FPS、SI、IM和SIA变差。FS状态与SO状态相比,除CE和SAA外,其余指标均有显著差异。结果表明,疲劳和应力都会在多个方面影响控制性能。疲劳主要使控制器的执行速度变慢,对情况的考虑变少。压力会导致更多的控制错误或失调。这些发现有望支持管制状态的识别,并改善空中交通管制员管理的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Fatigue and Stress on Air Traffic Control Performance
Fatigue and stress are two of the most common degraded performance states of air traffic controllers. They may have potential threat to air traffic safety. In order to analyze the effect characteristics of them on control performance, nine indices were defined and analyzed. A control simulation experiment was designed to collect 22 participants’ control performance data and the data of 19 participants were collected successfully. Four states, sober (SO), fatigue (FA), stress (ST) and fatigue & stress (FS), were designed. According to training regulations of air traffic controllers, nine indices were designed and analyzed, including the average of reaction time (RT_AVG), the standard deviation of reaction time (RT_SD), radiotelephony communication (RC), checking equipment (CE), flight progress strip (FPS), safety awareness (SAA), safety interval (SAI), instruction moment (IM), situation awareness (SIA). Based on the experiment process record of controllers, RT was calculated and the other indices was graded according to specific rule. The analysis results showed that all the indices except CE and SAA were significantly different among the four states. The performance of RT_AVG, RT_SD, RC, IM and SIA of controllers was impaired by fatigue significantly. Under the influence of stress, RT_SD, RC, FPS, SI, IM and SIA became worse. All the indices except CE and SAA were different significantly in FS state compared with SO state. The results indicate that both fatigue and stress can impair control performance in several aspects. Fatigue mainly makes controllers’ execution speed slower and less consideration about the situation. Stress leads to more control mistakes or disorders. These findings are expected to support the recognition of control states and improve the optimization of air traffic controller management.
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