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Human Factor Analysis and Quantification

In: Online Probabilistic Risk Assessment of Complex Marine Systems

Author

Listed:
  • Tarannom Parhizkar

    (Norwegian University of Science and Technology
    University of California)

  • Ingrid B. Utne

    (Norwegian University of Science and Technology)

  • Jan-Erik Vinnem

    (Norwegian University of Science and Technology)

Abstract

This chapter discusses human factorHuman factor effects on the system risk levelRisk level and presents related quantification modelModel in this field. Human errors, response timeResponse times modelsModel, and methods for human factorsHuman factor analysis and quantification are discussed. First, background research on human factorHuman factor quantifications in risk assessmentsRisk assessment is presented (Sect. 5.1). Then, a general overview on the role of human operators and their effect on system failureFailure is discussed (Sect. 5.2). In Sect. 5.3, performance shaping factorsPerformance shaping factors (PSFs) that affect human behaviorHuman behavior are identified. Generally, human error quantification methods could be classified into two main categories: 1. Skill-based human reliabilitySkill based human reliability analysis 2. Cognitive-based human reliabilityCognitive based human reliability analysis. These two categories are presented and discussed in Sects. 5.4 and 5.5, respectively. Lastly, in Sect. 5.6, human response timeHuman response time modelsModel are presented. These modelsModel provide a better understanding on the timeline of the decision-makingDecision-making process of operators in emergencies that affect system risk levelRisk level significantly.

Suggested Citation

  • Tarannom Parhizkar & Ingrid B. Utne & Jan-Erik Vinnem, 2022. "Human Factor Analysis and Quantification," Springer Series in Reliability Engineering, in: Online Probabilistic Risk Assessment of Complex Marine Systems, chapter 0, pages 75-102, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-88098-9_5
    DOI: 10.1007/978-3-030-88098-9_5
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