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2022 | OriginalPaper | Chapter

Research on Situational Awareness of Crew Warnings Based on GDTA and FCM

Authors : Wang Lijing, Xiaonan Shi, Yu Zhu, Yanzeng Zhao

Published in: Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE

Publisher: Springer Singapore

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Abstract

Situational awareness is very important for pilots to recognize and deal with crew warning information. In order to make pilots maintain good situational awareness, it is necessary to understand the process of situational cognition while pilots handling with warnings and analyze the factors that affect pilots' situational awareness. For this reason, combines the goal oriented task analysis (GDTA) method and fuzzy cognitive map (FCM) method, establishes the situation cognitive model of crew warnings, divides the task of handling the warnings, determines the operation process of handling the warnings, and obtains the influence degree of various factors affecting the situation awareness. By comparing the model with the existing typical crew warning scenarios, it is found that they are highly matched, which verifies the rationality of the model. The model is helpful to understand the key information needed by pilots to eliminate the warning, and has a certain guiding role for the design of crew warning system which is helpful for pilots to maintain situational awareness, identify and process the warning.

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Metadata
Title
Research on Situational Awareness of Crew Warnings Based on GDTA and FCM
Authors
Wang Lijing
Xiaonan Shi
Yu Zhu
Yanzeng Zhao
Copyright Year
2022
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-5963-8_38

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