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FRamework Assessing Notorious Contributing Influences for Error (FRANCIE).

L N Haney1

  • 1Idaho State University, Pocatello, USA. lnh@inel.gov

Aviation, Space, and Environmental Medicine
|September 19, 2000
PubMed
Summary
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The FRamework Assessing Notorious Contributing Influences for Error (FRANCIE) provides a systematic method for analyzing and predicting human error. This human factors framework is adaptable across various industries, enhancing safety and operational efficiency.

Area of Science:

  • Human Factors Engineering
  • Systems Safety
  • Cognitive Psychology

Background:

  • Human error poses significant risks in complex systems.
  • Existing methods for error analysis often lack comprehensiveness.
  • A systematic approach is needed to characterize and predict human error.

Purpose of the Study:

  • To develop and validate the FRamework Assessing Notorious Contributing Influences for Error (FRANCIE).
  • To create a comprehensive taxonomy of error types and contributing factors.
  • To establish a versatile methodology for human error analysis applicable across domains.

Main Methods:

  • Collaborative development involving NASA, industry partners, and academic institutions.
  • Expert knowledge capture from human factors and domain specialists.
Keywords:
NASA Discipline Space Human FactorsNon-NASA Center

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  • Iterative refinement of the framework and taxonomy based on expert input and application.

    • Main Results:

    • Development of the FRANCIE framework and a specialized taxonomy for airline maintenance.
    • Demonstrated applicability of FRANCIE to aviation operations, including a precision landing aid scenario.
    • Identification of key features: proactive/reactive analysis, multilevel assessment, and compatibility with existing methods.

    Conclusions:

    • FRANCIE is a valuable tool for systematic human error analysis and prediction.
    • The FRANCIE taxonomy serves as a foundation for domain-specific adaptations.
    • The framework's adaptability supports applications in diverse fields like aerospace, medicine, and transportation.