An analytical methodology to support the identification and remediation of potential human fallibilities in complex human-machine systems Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/bc386m343

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  • This research proposes a Human Fallibility Identification and Remediation Methodology (HFIRM) that supports the systematic identification and remediation of potential human errors. The objective of this research was to develop and test a prototype framework that supports the practical application of human factors knowledge to the analysis and design of complex systems. This was accomplished through the development of a methodology that guides users through a systemic fallibility analysis that draws from a database of human performance knowledge. The results of the preliminary usability study suggest that participants perceived HFIRM positively in terms of both its usability and efficacy, supporting the face validity of the framework. This methodology extends existing research in the domain of human error analysis and incorporates human factors principles in order to develop a novel human performance analysis methodology.
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