EEG-based workload evaluation in air traffic control
Higher standard of living and ease of air travel has led to an increase in air traffic density. Mental workload of air traffic controllers increases with air traffic density and many automation aids have been implemented with the aim of reducing controllers’ workload. This experiment made use of a n...
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sg-ntu-dr.10356-683092023-03-04T18:37:10Z EEG-based workload evaluation in air traffic control Sim, Jun An Chen Chun-Hsien Olga Sourina School of Mechanical and Aerospace Engineering DRNTU::Engineering Higher standard of living and ease of air travel has led to an increase in air traffic density. Mental workload of air traffic controllers increases with air traffic density and many automation aids have been implemented with the aim of reducing controllers’ workload. This experiment made use of a new EEG-based workload evaluation method to find out the effects of display aids and the reliability of Conflict Resolution Aids on mental workload. This new method of workload evaluation was found to be as reliable as NASA-TLX and it was found that the automation aids used in this experiment do not reduce controllers’ workload. Bachelor of Engineering (Aerospace Engineering) 2016-05-25T06:06:00Z 2016-05-25T06:06:00Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68309 en Nanyang Technological University 92 p. application/pdf |
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Asia |
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Singapore Singapore |
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DRNTU::Engineering Sim, Jun An EEG-based workload evaluation in air traffic control |
| description |
Higher standard of living and ease of air travel has led to an increase in air traffic density. Mental workload of air traffic controllers increases with air traffic density and many automation aids have been implemented with the aim of reducing controllers’ workload. This experiment made use of a new EEG-based workload evaluation method to find out the effects of display aids and the reliability of Conflict Resolution Aids on mental workload. This new method of workload evaluation was found to be as reliable as NASA-TLX and it was found that the automation aids used in this experiment do not reduce controllers’ workload. |
| author2 |
Chen Chun-Hsien |
| author_facet |
Chen Chun-Hsien Sim, Jun An |
| format |
Final Year Project |
| author |
Sim, Jun An |
| author_sort |
Sim, Jun An |
| title |
EEG-based workload evaluation in air traffic control |
| title_short |
EEG-based workload evaluation in air traffic control |
| title_full |
EEG-based workload evaluation in air traffic control |
| title_fullStr |
EEG-based workload evaluation in air traffic control |
| title_full_unstemmed |
EEG-based workload evaluation in air traffic control |
| title_sort |
eeg-based workload evaluation in air traffic control |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10356/68309 |
| _version_ |
1759856412272361472 |