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Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation

机译：飞机飞行员工作负荷分析：心率变异目标措施和美国航空航天局任务负荷指数主观评价

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摘要

Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue. There exist several subjective or objective metrics to quantify the pilots’ workload level, with both linear and nonlinear relationships reported in the literature. The main research objective of the present work is to analyze the relationships between objective and subjective workload measurements by looking for a correlation between metrics belonging to the subjective and biometric rating methods. More particularly, the Heart Rate Variability (HRV) is used for the objective analysis, whereas the NASA-TLX questionnaire is the tool chosen for the subjective evaluation of the workload. Two different flight scenarios were considered for the studies: the take-off phase with the initial climb and the final approach phase with the landing. A Maneuver Error Index (MEI) is also introduced to evaluate the pilot flight performance according to mission requirements. Both qualitative and quantitative correlation analyses were performed among the MEI, subjective and objective measurements. Monotonic relationships were found within the HRV indexes, and a nonlinear relationship is proposed among NASA-TLX and HRV indexes. These findings suggest that the relationship between workload, biometric data, and performance indexes are characterized by intricate patterns of nonlinear relationships.
机译：飞机飞行员的工作量和疲劳代表了对人类因素框架和在航空安全方面考虑的关键点兴趣的论点。 75％的飞机事故与人类错误有关，在大多数情况下，都是由于高水平的心理工作量和疲劳。存在多个主观或客观度量来量化导频的工作量水平，其中在文献中报告了线性和非线性关系。本工作的主要研究目标是通过寻找属于主观和生物识别额定方法的度量之间的相关性来分析目标和主观工作量测量之间的关系。更具体地，心率变异性（HRV）用于客观分析，而NASA-TLX问卷是选择用于工作量的主观评估的工具。考虑了两个不同的飞行情景：采用初始攀登的起飞阶段和降落的最终方法阶段。还介绍了机动错误索引（MEI）以根据任务要求评估试点飞行性能。在MEI，主观和客观测量中进行了定性和定量相关分析。在HRV指数中发现单调关系，并且在NASA-TLX和HRV指标中提出了非线性关系。这些发现表明，工作负载，生物识别数据和性能指标之间的关系是以非线性关系的复杂模式的特征。

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