Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments
Joint Authors
Wang, Haibo
Jiang, Naiqi
Pan, Ting
Si, Haiqing
Li, Yao
Zou, Wenjing
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Cognitive load is generated by pilots in the process of information cognition about aircraft control, and it is closely related to flight safety.
Cognitive load is the physiological and psychological need that a pilot produces when completing a mission.
Therefore, it is meaningful to study the dynamic identification of the cognitive load of the pilot under the complex human-aircraft-environment interaction.
In this paper, the airfield traffic pattern flight simulation experiment was designed and used to obtain the ECG physiological and NASA-TLX psychological data.
The wavelet transform preprocessing and mathematical statistics analysis were applied on them, respectively.
Furthermore, the Pearson correlation analysis method is used to select the characteristic indicators of psycho-physiological data after preprocessing.
Based on the psycho-physiological characteristic indicators, the pilot’s cognitive load identification model is constructed by combining RNN and LSTM.
The results of this study are more accurate compared with the cognitive load identification models established by other methods such as RNN neural network and support vector machine.
This research is able to provide a useful reference for preventing and reduction of human error caused by the cognitive load during flight missions.
It will be potential to realize intelligent control of aircraft cockpit, improving the flight control behavior and maintaining flight safety.
American Psychological Association (APA)
Wang, Haibo& Jiang, Naiqi& Pan, Ting& Si, Haiqing& Li, Yao& Zou, Wenjing. 2020. Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175767
Modern Language Association (MLA)
Wang, Haibo…[et al.]. Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments. Journal of Advanced Transportation No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1175767
American Medical Association (AMA)
Wang, Haibo& Jiang, Naiqi& Pan, Ting& Si, Haiqing& Li, Yao& Zou, Wenjing. Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175767
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175767