Situational Awareness and Flight Approach Phase Event Recognition Based on Psychophysiological Measurements

2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2021-12-13 DOI:10.1109/IEEM50564.2021.9673081

Qinbiao Li, Cho Yin Yiu, S. C. Yu, K. Ng

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引用次数: 2

Abstract

Situational awareness (SA) is a key parameter for air traffic control officers (ATCOs) when performing complex tasks in ATC. Identifying the potential lack of SA can avoid serious human errors and assist users to make proper decisions in ATC tasks. This paper aims to evaluate the SA of ATCOs by discriminating various SA levels via commonly used dry-sensor electroencephalography (EEG). This research also provides fundamentals and guidance for further research on SA. In this experiment, 10 participants are recruited to imitate ATCOs and perform three tasks accordingly. The results demonstrated a significant increase in the alpha wave while having a low beta wave with a high Beta power spectrum in channels FC6, F7, and T8 when comparing the projection scenario with the perception scenario. This research further reveals the relationship between various SA statuses and the corresponding physiological feedback, with reasonable measures in non-ideal situations.

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基于心理生理测量的态势感知与飞行进近阶段事件识别

在空中交通管制中，态势感知是空管人员执行复杂任务的关键参数。识别潜在的SA缺乏可以避免严重的人为错误，并帮助用户在ATC任务中做出正确的决策。本文旨在通过常用的干传感器脑电图(EEG)区分不同的SA水平来评估ATCOs的SA。本研究也为SA的进一步研究提供了基础和指导。在本实验中，招募了10名参与者来模仿atco，并相应地执行三个任务。结果表明，与感知情景相比，在FC6、F7和T8通道α波明显增加，而β波较低，β波功率谱较高。本研究进一步揭示了各种SA状态与相应的生理反馈之间的关系，并在非理想情况下采取合理措施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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