Haskell B E, Reid G B
Wright State University School of Medicine, Department of Community Medicine, Dayton, Ohio.
Aviat Space Environ Med. 1987 Dec;58(12):1230-2.
Control of pilot workload may prevent performance failure of VRF pilots in adverse weather. Measurement of workload and the prediction of performance failure are the first steps. Twelve low-time non-instrument rated pilots were progressively tasked with flight maneuvers under simulated instrument meteorological conditions to the point of performance failure. For each of 3 simulated flights, 14 maneuvers, presented in groups, were performed. Perceived workload was reported by the Subjective Workload Assessment Technique. We obtained 500 workload scores. Workload scores varied significantly between the groups of maneuvers. Instrument landing system approaches had the highest workloads, with descents the second highest. Workload scores were significantly higher when associated with performance failure. The Subjective Workload Assessment Technique proved to be a sensitive workload measure. It showed some promise as a predictor of performance breakdown.
控制飞行员的工作量可以防止虚拟现实飞行(VRF)飞行员在恶劣天气下出现操作失误。测量工作量和预测操作失误是第一步。12名飞行时间较短且未获得仪表等级的飞行员在模拟仪表气象条件下逐渐执行飞行机动任务,直至出现操作失误。对于3次模拟飞行中的每一次,都分组执行了14种机动动作。通过主观工作量评估技术报告感知到的工作量。我们获得了500个工作量分数。不同机动动作组之间的工作量分数差异显著。仪表着陆系统进近的工作量最高,下降动作的工作量次之。与操作失误相关时,工作量分数显著更高。主观工作量评估技术被证明是一种敏感的工作量测量方法。它作为操作失误预测指标显示出一定的前景。