Pilots’ mental workload dynamic prediction based on cognitive process

被引：0
|
作者：
Liu C.
Xiao X. [2 ]
Zhao J. [1 ]
机构：
[1] School of Aeronautic Science and Engineering, Beihang University, Beijing
[2] China Academy of Electronics and Information Technology of China Electronics Technology Group Corporation, Beijing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 11期
基金：
中国国家自然科学基金;
关键词：
attention allocation; cognitive process; ergonomics; mental workload; predicton model;
D O I：
10.13700/j.bh.1001-5965.2022.0053
中图分类号：
学科分类号：
摘要：
Modern military flight systems are highly information-intensive and their tasks are complex and changeable. In order to explore the influence of information processing types and multi-task coordination on pilots’ mental workload, a quantitative prediction model based on the cognitive process was proposed. The ACT-R cognitive module and the mental workload determinants were used to separate the pilot’s mental workload into perceptual workload and cognitive burden. The multi-task resource interference for mental workload was calculated based on multiple resources. 16 subjects were selected to complete the multi-factor mental workload experiment. The results showed that the main effects of flight performance, NASA-TLX, average saccade time and scanning rate were significant (P<0.05). Subjective evaluation, RRCV and HR were significantly positively correlated with the total mental workload. And the average mental workload was significantly positively correlated with flight performance, pupil diameter and average saccade time. In order to anticipate and assess the mental workload of pilots, the prediction model offered a certain application value. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码：2921 / 2928
页数：7
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