Journal of System Simulation
Abstract
Abstract: The operator's cognitive load constitutes a critical determinant of task performance. Pilots, as the primary operators of aircraft, must face an overwhelming volume of information during complex missions, which significantly heightens the risk of cognitive overload and operational errors. Evaluating cognitive load during tasks helps reduce human errors and improve system safety by optimizing design schemes. A simulation model was established to dynamically predict the pilots' cognitive load during tasks for multi-task scenarios. Based on the multiple resource theory, a method for quantifying cognitive load in multi-task conditions was established. By considering cognitive capacity, task time constraints, task priority, and temporal randomness, a dynamic model of task process was constructed based on the random-time extended weighted Petri net. Based on the experimental data, cognitive load values were predicted, and the effectiveness of the cognitive load evaluation model was verified. The results indicate that the sensitive physiological parameter is significantly correlated with predicted values of cognitive load.
Recommended Citation
Fan, Zeng; He, Mingjun; and Xing, Xiangyu
(2025)
"Research on Digital Simulation Method for Cognitive Load Evaluation of pilots,"
Journal of System Simulation: Vol. 37:
Iss.
8, Article 3.
DOI: 10.16182/j.issn1004731x.joss.25-0311
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss8/3
First Page
1921
Last Page
1932
CLC
TP391.9
Recommended Citation
Fan Zeng, He Mingjun, Xing Xiangyu. Research on Digital Simulation Method for Cognitive Load Evaluation of pilots[J]. Journal of System Simulation, 2025, 37(8): 1921-1932.
DOI
10.16182/j.issn1004731x.joss.25-0311
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons