Performance shaping factors in the human error probability modification of human reliability analysis.

Area of Science:

• Engineering
• Human Factors
• System Safety

Background:

• Human-induced accidents highlight the need for robust Human Reliability Analysis (HRA).
• HRA employs qualitative and quantitative methods to assess operator errors within specific task contexts.
• Accurate quantification of Human Error Probability (HEP) is essential for objective evaluation of human error behaviors.

Purpose of the Study:

• To review and analyze major quantification strategies for HEP within HRA.
• To explore the role and application of Performance Shaping Factors (PSFs) in refining HEP.
• To generalize the modification of HEP using PSFs into a comprehensive paradigm.

Main Methods:

• Review of contemporary HRA studies focusing on HEP quantification.
• Analysis of three major quantification strategies for HEP based on PSFs.
• Generalization of HEP modification with PSFs into a conceptual framework.

Main Results:

• Identification and review of three prevalent HEP quantification strategies in HRA.
• Demonstration of how PSFs are utilized to refine HEP estimates.
• Establishment of a generalized paradigm for modifying HEP with PSFs.

Conclusions:

• The study provides a consolidated overview of HEP quantification methods in HRA.
• Understanding the impact of PSFs is key to improving the accuracy of human error assessments.
• The generalized paradigm offers a structured approach for future HRA development and application.