Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach

This work aims to establish a framework in measuring the various attentional levels of the human operator in a real-time animated environment through a visual neuro-assisted approach.

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Bibliographic Details
Main Authors:	Li, Yu Fei, Lye, Sun Woh, Rajamanickam, Yuvaraj
Other Authors:	School of Mechanical and Aerospace Engineering
Format:	Article
Language:	English
Published:	2022
Subjects:	Engineering::Mechanical engineering Attentional Processes Air Traffic Control
Online Access:	https://hdl.handle.net/10356/156203
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1562032022-04-16T20:10:24Z Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach Li, Yu Fei Lye, Sun Woh Rajamanickam, Yuvaraj School of Mechanical and Aerospace Engineering Air Traffic Management Research Institute Engineering::Mechanical engineering Attentional Processes Air Traffic Control This work aims to establish a framework in measuring the various attentional levels of the human operator in a real-time animated environment through a visual neuro-assisted approach. Civil Aviation Authority of Singapore (CAAS) Published version This research is supported by the Civil Aviation Authority of Singapore and Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. 2022-04-13T06:26:52Z 2022-04-13T06:26:52Z 2022 Journal Article Li, Y. F., Lye, S. W. & Rajamanickam, Y. (2022). Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach. Heliyon, 8(3), e09067-. https://dx.doi.org/10.1016/j.heliyon.2022.e09067 2405-8440 https://hdl.handle.net/10356/156203 10.1016/j.heliyon.2022.e09067 35368547 3 8 e09067 en 04SBS000782C160 Heliyon © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Mechanical engineering Attentional Processes Air Traffic Control
spellingShingle	Engineering::Mechanical engineering Attentional Processes Air Traffic Control Li, Yu Fei Lye, Sun Woh Rajamanickam, Yuvaraj Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
description	This work aims to establish a framework in measuring the various attentional levels of the human operator in a real-time animated environment through a visual neuro-assisted approach.
author2	School of Mechanical and Aerospace Engineering
author_facet	School of Mechanical and Aerospace Engineering Li, Yu Fei Lye, Sun Woh Rajamanickam, Yuvaraj
format	Article
author	Li, Yu Fei Lye, Sun Woh Rajamanickam, Yuvaraj
author_sort	Li, Yu Fei
title	Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
title_short	Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
title_full	Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
title_fullStr	Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
title_full_unstemmed	Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
title_sort	assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach
publishDate	2022
url	https://hdl.handle.net/10356/156203
_version_	1731235699858866176

Assessing attentive monitoring levels in dynamic environments through visual neuro-assisted approach

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