Technical Basis and Implementation Guidelines for a Technique for Human Event Analysis (ATHEANA)

Abstract

This report introduces a next-generation HRA method called "A Technique for Human Event Analysis," (ATHEANA). ATHEANA was developed to address limitations identified in current HRA approaches by: (1) addressing errors of commission and dependencies; (2) more realistically representing the human-system interactions that have played important roles in accident response; and (3) integrating advances in psychology with engineering, human factors, and PRA disciplines. This report is the step-by-step guidebook for applying the method. It describes how to: (1) select and organize the ATHEANA team, (2) perform and control the structured search processes for human failure events and unsafe acts, including a discussion of the reasons that such events occur (i.e., the elements of error-forcing context), (3) use the knowledge encoded in the PRA along with the specialized knowledge and experience of the ATHEANA team to focus the searches on those events and reasons that are most likely to affect the risk, and (4) quantify the error-forcing contexts and probability of each unsafe act, given its context.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2000
Accession Number
ADA529979

Entities

Organizations

  • Nuclear Regulatory Commission

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Engineers
  • Failure Mode And Effect Analysis
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Information Processing
  • Metal Matrix Composites
  • Personnel Management
  • Psychology
  • Reliability
  • Safety
  • Systems Engineering

Readers

  • Aviation Safety Risk Assessment.
  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.