Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study

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• 作者：Paul Lehrer ; Maria Karavidas ; Shou-En Lu ; Evgeny Vaschillo ; Bronya Vaschillo ; Andrew Cheng
• 关键词：Heart rate variability ; Parasympathetic ; Autonomic ; Aviation ; Ambulatory monitoring
• 刊名：International Journal of Psychophysiology
• 出版年：2010
• 出版时间：May 2010
• 年：2010
• 卷：76
• 期：2
• 页码：80-87
• 全文大小：213 K

文摘

Seven professional airplane pilots participated in a one-session test in a Boeing 737-800 simulator. Mental workload for 18 flight tasks was rated by experienced test pilots (hereinafter called “expert ratings”) and by study participants' self-report on NASA's Task Load Index (TLX) scale. Pilot performance was rated by a check pilot. The standard deviation of R–R intervals (SDNN) significantly added 3.7 % improvement over the TLX in distinguishing high from moderate-load tasks and 2.3 % improvement in distinguishing high from combined moderate and low-load tasks. Minimum RRI in the task significantly discriminated high- from medium- and low-load tasks, but did not add significant predictive variance to the TLX. The low-frequency/high-frequency (LF:HF) RRI ratio based on spectral analysis of R–R intervals, and ventricular relaxation time were each negatively related to pilot performance ratings independently of TLX values, while minimum and average RRI were positively related, showing added contribution of these cardiac measures for predicting performance. Cardiac results were not affected by controlling either for respiration rate or motor activity assessed by accelerometry. The results suggest that cardiac assessment can be a useful addition to self-report measures for determining flight task mental workload and risk for performance decrements. Replication on a larger sample is needed to confirm and extend the results.