Cognitive Workload Assessment of Aircraft Pilots

作     者：Maxime Antoine Hamdi Ben Abdessalem Claude Frasson Maxime Antoine;Hamdi Ben Abdessalem;Claude Frasson

作者机构：Departement d’Informatique et de Recherche Operationnelle Universite de Montreal Montreal Canada 

出 版 物：《Journal of Behavioral and Brain Science》 (行为与脑科学期刊（英文）)

年 卷 期：2022年第12卷第10期

页      面：474-484页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cognitive Workload Aviation Heart Rate Pupil Dilation Machine Learning Deep Learning EEG 

摘      要：In this research, we study the cognitive workload of aircraft pilots during a simulated takeoff procedure. We propose a proof-of-concept setup environment to gather heart rate, pupil dilation, and brain cognitive workload data during an A320 takeoff within a simulator. Experiments were performed during which we collected 136 takeoffs across 13 pilots for more than 9 hours of time-series data. Moreover, this paper investigates the correlations between heart rate, pupil dilation, and cognitive workload during such exercise and found that a spike in cognitive load during a critical moment, such as an engine failure, augments a pilot’s heart rate and pupil dilation. Results show that a critical moment within a takeoff procedure increases a pilot’s cognitive load. Next, we used a stacked-LSTM model to predict cognitive workload 5 seconds into the future. The model was able to produce accurate predictions.