Identifying physiological thresholds in human performance for adaptive automation triggers
This research describes an approach to an objective assessment of conflict detection in an air traffic control setting by analysing differences in several aspects of the eye metrics such as fixation counts, fixation duration, and successive comparison in fixation targets. In an experiment, these are...
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2021
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sg-ntu-dr.10356-1509942021-06-15T06:00:45Z Identifying physiological thresholds in human performance for adaptive automation triggers Lam, Xin He Chen Chun-Hsien School of Mechanical and Aerospace Engineering MCHchen@ntu.edu.sg Engineering::Aeronautical engineering This research describes an approach to an objective assessment of conflict detection in an air traffic control setting by analysing differences in several aspects of the eye metrics such as fixation counts, fixation duration, and successive comparison in fixation targets. In an experiment, these areas were measured with an eye-tracking device. The successive comparison revealed a great difference between the two states of conflict detection while fixation count and duration did not show any significant differences. This assessment can be a trigger and be potentially integrated into an adaptive automation model to aid operators in the event they fail to perform. Bachelor of Engineering (Aerospace Engineering) 2021-06-15T06:00:45Z 2021-06-15T06:00:45Z 2021 Final Year Project (FYP) Lam, X. H. (2021). Identifying physiological thresholds in human performance for adaptive automation triggers. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150994 https://hdl.handle.net/10356/150994 en application/pdf Nanyang Technological University |
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Engineering::Aeronautical engineering Lam, Xin He Identifying physiological thresholds in human performance for adaptive automation triggers |
description |
This research describes an approach to an objective assessment of conflict detection in an air traffic control setting by analysing differences in several aspects of the eye metrics such as fixation counts, fixation duration, and successive comparison in fixation targets. In an experiment, these areas were measured with an eye-tracking device. The successive comparison revealed a great difference between the two states of conflict detection while fixation count and duration did not show any significant differences. This assessment can be a trigger and be potentially integrated into an adaptive automation model to aid operators in the event they fail to perform. |
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Chen Chun-Hsien |
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Chen Chun-Hsien Lam, Xin He |
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Final Year Project |
author |
Lam, Xin He |
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Lam, Xin He |
title |
Identifying physiological thresholds in human performance for adaptive automation triggers |
title_short |
Identifying physiological thresholds in human performance for adaptive automation triggers |
title_full |
Identifying physiological thresholds in human performance for adaptive automation triggers |
title_fullStr |
Identifying physiological thresholds in human performance for adaptive automation triggers |
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Identifying physiological thresholds in human performance for adaptive automation triggers |
title_sort |
identifying physiological thresholds in human performance for adaptive automation triggers |
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Nanyang Technological University |
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2021 |
url |
https://hdl.handle.net/10356/150994 |
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1703971165245014016 |