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...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Language: | English |
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2021
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| Online Access: | https://hdl.handle.net/10356/147627 |
| _version_ | 1824455546620608512 |
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| author | Ayeni, Alvin John Pushparaj, Kiranraj Izzetoglu, Kurtulus Alam, Sameer Duong, Vu N. |
| 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. |
| author_sort | Ayeni, Alvin John |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:39:56Z |
| format | Conference Paper |
| id | ntu-10356/147627 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:39:56Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | 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 |
| topic | Engineering::Aeronautical engineering::Aviation Human Factors Neuroscience |
| url | https://hdl.handle.net/10356/147627 |
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