dc.contributor.authorSim, Jun An
dc.description.abstractHigher 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.en_US
dc.format.extent92 p.en_US
dc.rightsNanyang Technological University
dc.titleEEG-based workload evaluation in air traffic controlen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Chun-Hsienen_US
dc.contributor.supervisorOlga Sourinaen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeAEROSPACE ENGINEERINGen_US

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