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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:PhD Defense: Nicolas F. Soria Zurita 
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260616T091752Z
UID:tag:localist.com\,2008:EventInstance_30397161843853
DTSTART:20190603T210000Z
DTEND:20190603T220000Z
DESCRIPTION:The Function-Human Error Design Method (FHEDM)\nCandidate for D
 octor of Philosophy in Mechanical Engineering\nMajor Professor: Dr. Irem Y
 . Tumer Co-Major Professor: Dr. H. Onan Demirel\n\nThis research presents 
 a methodology to identify and analyze human-system interactions\, and thei
 r potential failure modes using a functional decomposition approach during
  the early system design stage. The fundamental research contribution of t
 his work is the development of a framework to identify associations betwee
 n physical user-product interactions\, generic human errors using a functi
 onal model framework. Providing designers with such associations will allo
 w the integration of Human Factors Engineering (HFE) principles early in t
 he design process to assess user-system interactions by identifying possib
 le human error scenarios and component failures. This methodology can also
  be used to improve design engineering methods\, by explicitly refining th
 e user considerations and providing design guidelines to enhance the usabi
 lity\, safety\, and comfort of the user while operating the engineered sys
 tem. This research introduces the components of Function-Human Error Desig
 n Method (FHEDM). First\, we build the human error database\, which catego
 rizes human errors associated with user-system physical interactions allow
 ing designers to identify user errors while completing tasks within the sy
 stem. Additionally\, we present a method capable of mapping usersystem phy
 sical interactions and their possible human errors within a functional mod
 el framework. The preliminary results of the research suggest that design 
 information from a rich dataset can be used for extracting association rul
 es between functions\, flows\, components\, and user interactions. This wo
 rk contributes to the design community by automating the identification of
  user interactions and potential human errors from a single functional mod
 el.
GEO:44.567643;-123.275765
LOCATION:Rogers Hall\, 226
SUMMARY:PhD Defense: Nicolas F. Soria Zurita 
URL;VALUE=URI:https://events.oregonstate.edu/event/phd_defense_nicolas_f_so
 ria_zurita
CATEGORIES:Lecture or Presentation
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