A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches

The aim of this research is to use functional Near-Infrared Spectroscopy to compare and contrast brain activation for professional versus novice Tower Air Traffic Controllers when performing their daily tasks, whilst accounting for missed approaches. With functional Near-Infrared Spectroscopy chosen...

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Main Authors: Ayeni, Alvin John, Pushparaj, Kiranraj, Izzetoglu, Kurtulus, Alam, Sameer, Duong, Vu N.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/147627
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1476272023-03-04T17:08:13Z A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches Ayeni, Alvin John Pushparaj, Kiranraj Izzetoglu, Kurtulus Alam, Sameer Duong, Vu N. School of Mechanical and Aerospace Engineering International Conference on Human-Computer Interaction 2020 Air Traffic Management Research Institute Engineering::Aeronautical engineering::Aviation Human Factors Neuroscience The aim of this research is to use functional Near-Infrared Spectroscopy to compare and contrast brain activation for professional versus novice Tower Air Traffic Controllers when performing their daily tasks, whilst accounting for missed approaches. With functional Near-Infrared Spectroscopy chosen due to its ability to continuously monitor brain activity for mobile participants in their workplace settings, increasing eco-logical validity, as well as being safe, inexpensive, and benefitting from low set-up times, resulting in excellent temporal resolution as well as superior spatial resolution over Electroencephalogram. If a significant difference in activation is observed between professional and novice ATCOs, the neuroimaging data can be used as a benchmark for future exploratory studies using the obtained neuroimaging data to serve as a reliable quantitative measure to track performance during Air Traffic Controller training, establishing a metric to distinguish novice from professional Air Traffic Controllers. Our hypothesis is that professional tower controllers will have a decrease in brain activation due to their experience. Contrastingly, novice tower controllers would have more extensive brain activation, given a lack of experience relying soley on training. Additionally, we expect to see a significant difference in sustained attention activation between professionals and novices. The tasks that the tower controllers will be expected to resolve will be a series of tower control duties that will be severely impacted by a range of factors that will intentionally make the successful performance of their duties strained. Civil Aviation Authority of Singapore (CAAS) Accepted version This work was made possible through the NTU-CAAS Research Grant M4062429.056.706022 by Air Traffic Management Research Insitute, and the school of mechancial engineering NTU. Ethics approval for this research was granted by the Nanyang Technological University (NTU) institional review board (IRB) (IRB-2020-01-026). A special thank you goes out to Lab Manager Kevin of the ATMRI whose assistance with the tower simulator made the whole project possible. 2021-04-23T07:56:34Z 2021-04-23T07:56:34Z 2020 Conference Paper Ayeni, A. J., Pushparaj, K., Izzetoglu, K., Alam, S. & Duong, V. N. (2020). A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches. International Conference on Human-Computer Interaction 2020, 107-117. 978-3-030-50352-9 978-3-030-50353-6 https://hdl.handle.net/10356/147627 107 117 en M4062429.056.706022 © 2020 Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in International Conference on Human-Computer Interaction 2020. 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::Aeronautical engineering::Aviation
Human Factors
Neuroscience
spellingShingle Engineering::Aeronautical engineering::Aviation
Human Factors
Neuroscience
Ayeni, Alvin John
Pushparaj, Kiranraj
Izzetoglu, Kurtulus
Alam, Sameer
Duong, Vu N.
A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
description The aim of this research is to use functional Near-Infrared Spectroscopy to compare and contrast brain activation for professional versus novice Tower Air Traffic Controllers when performing their daily tasks, whilst accounting for missed approaches. With functional Near-Infrared Spectroscopy chosen due to its ability to continuously monitor brain activity for mobile participants in their workplace settings, increasing eco-logical validity, as well as being safe, inexpensive, and benefitting from low set-up times, resulting in excellent temporal resolution as well as superior spatial resolution over Electroencephalogram. If a significant difference in activation is observed between professional and novice ATCOs, the neuroimaging data can be used as a benchmark for future exploratory studies using the obtained neuroimaging data to serve as a reliable quantitative measure to track performance during Air Traffic Controller training, establishing a metric to distinguish novice from professional Air Traffic Controllers. Our hypothesis is that professional tower controllers will have a decrease in brain activation due to their experience. Contrastingly, novice tower controllers would have more extensive brain activation, given a lack of experience relying soley on training. Additionally, we expect to see a significant difference in sustained attention activation between professionals and novices. The tasks that the tower controllers will be expected to resolve will be a series of tower control duties that will be severely impacted by a range of factors that will intentionally make the successful performance of their duties strained.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Ayeni, Alvin John
Pushparaj, Kiranraj
Izzetoglu, Kurtulus
Alam, Sameer
Duong, Vu N.
format Conference or Workshop Item
author Ayeni, Alvin John
Pushparaj, Kiranraj
Izzetoglu, Kurtulus
Alam, Sameer
Duong, Vu N.
author_sort Ayeni, Alvin John
title A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
title_short A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
title_full A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
title_fullStr A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
title_full_unstemmed A neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
title_sort neuroimaging approach to evaluate choices and compare performance of tower air traffic controllers during missed approaches
publishDate 2021
url https://hdl.handle.net/10356/147627
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