Key result
Correlation analyses between objective HRV and subjective NASA-TLX workload measurements in aircraft pilots revealed intricate patterns of nonlinear relationships.
Why the study?
Pilot workload and fatigue significantly contribute to aircraft accidents, but relationships between subjective and objective biometric workload metrics require further analysis.
Observational
The relationship between aircraft pilot workload, biometric data (HRV), and performance indexes is characterized by intricate nonlinear patterns.
Answers are grounded in this paper and cite their sources.
Pilot workload metrics need rigorous validation; leaves open optimal integration of objective and subjective measures for safety.
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.
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Alaimo et al. (2020) conducted an observational in Aircraft pilot workload and fatigue. Heart Rate Variability (HRV) and NASA-TLX was evaluated on Correlation between objective and subjective workload measurements. Correlation analyses between objective HRV and subjective NASA-TLX workload measurements in aircraft pilots revealed intricate patterns of nonlinear relationships.
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