Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150994
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLam, Xin Heen_US
dc.date.accessioned2021-06-15T06:00:45Z-
dc.date.available2021-06-15T06:00:45Z-
dc.date.issued2021-
dc.identifier.citationLam, X. H. (2021). Identifying physiological thresholds in human performance for adaptive automation triggers. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150994en_US
dc.identifier.urihttps://hdl.handle.net/10356/150994-
dc.description.abstractThis research describes an approach to an objective assessment of conflict detection in an air traffic control setting by analysing differences in several aspects of the eye metrics such as fixation counts, fixation duration, and successive comparison in fixation targets. In an experiment, these areas were measured with an eye-tracking device. The successive comparison revealed a great difference between the two states of conflict detection while fixation count and duration did not show any significant differences. This assessment can be a trigger and be potentially integrated into an adaptive automation model to aid operators in the event they fail to perform.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titleIdentifying physiological thresholds in human performance for adaptive automation triggersen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Chun-Hsienen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Aerospace Engineering)en_US
dc.contributor.supervisoremailMCHchen@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
Final Report Lam Xin He.pdf
  Restricted Access
4.16 MBAdobe PDFView/Open

Page view(s)

62
Updated on Oct 16, 2021

Download(s)

2
Updated on Oct 16, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.