Web-based training system for improving aviation maintenance performance

Guo Feng Liang, Jhih Tsong Lin, Sheue Ling Hwang, Eric Min Yang Wang, Patrick Patterson, Jiun Fa Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


To increase aviation maintenance and inspection safety, we propose a web-based training system (WBTS) for technician training and performing maintenance tasks. Toward this goal, the risks of human errors were considered for each procedure from the perspectives of performance shaping factors (PSFs). WBTS functions include English and Chinese explanations, human error effects on human-machine system, human errors relative to serious rankings and frequency, and graphic information aid in each component removal and installation procedure. To verify the proposed platform, experiments were conducted on a JT8D engine during the inaugural flight of Boeing's 727 to compare traditional workcard and proposed WBTS in two complex teamwork tasks. The results revealed that teams' risk cognition, situation awareness, and performance have been increased by proposed WBTS comparing to that by the traditional work-card instructions.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationInteracting in Various Application Domains - 13th International Conference, HCI International 2009, Proceedings
Number of pages10
EditionPART 4
StatePublished - 2009
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: Jul 19 2009Jul 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume5613 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on Human-Computer Interaction, HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA


  • Human error
  • Maintenance incidents
  • Performance shaping factor
  • Situation awareness
  • WBTS
  • Workload


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