Research on Cognitive Theory Model of Man-Machine Combination Pilot Based on Information Processing

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Research on Cognitive Theory Model of Man-Machine Combination Pilot Based on Information Processing

Chen, Siyu / Xue, Hongjun / Zhang, Xiaoyan / Qu, Jue / Dang, Sina

The cockpit design of information integration have changed the role of pilot. The role of Pilot in flight changes from the operator to the monitor of flight data, which put forward higher requirements for the pilot’s information processing ability. Pilots will receive a lot of information and they must make decisions in a short time. Due to the need to process a large amount of information under the time pressure, the cognitive load of pilots is increasing and the work performance is decreasing, which would affect flight safety. Thus, this paper have analyzed the characteristics of information acquisition and processing from the perspective of pilot and cockpit. And then, the information processing framework based on pilot cognitive characteristics has been established. Finally the pilot cognitive theoretical model and Man-machine combination precision cognitive system model was proposed. The model considered both human and aircraft information interaction, quantified the cognitive load of pilots from the perspective of information processing ability.

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Document information

Title :

Research on Cognitive Theory Model of Man-Machine Combination Pilot Based on Information Processing

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Long, Shengzhao (editor) / Dhillon, Balbir S. (editor) / Chen, Siyu (author) / Xue, Hongjun (author) / Zhang, Xiaoyan (author) / Qu, Jue (author) / Dang, Sina (author)

Conference:

International Conference on Man-Machine-Environment System Engineering ; 2022 ; Beijing, China October 21, 2022 - October 23, 2022

Published in:

Man-Machine-Environment System Engineering ; Chapter : 1 ; 3-9

Lecture Notes in Electrical Engineering ; 941

Publication date :

2022-08-21

Size :

7 pages

ISBN :

978-981-19-4786-5 , 978-981-19-4785-8

ISSN :