Enhancing Human Reliability Analysis through Visualization: First Steps

Author(s):  
Robert E. Richards ◽  
Steven Novak ◽  
Lon N. Haney ◽  
Henry A. Romero ◽  
Harold S. Blackman

Over the last 15 years practitioners and researchers in the area of human factors and human reliability analysis (HRA) at the Idaho National Engineering Laboratory (INEL) have been developing improved methods and tools for performing HRAs. During this last year a major focus has been placed on applying visualization to enhance HRA processes and the communication of HRA results. The team has explored various metaphors, concepts, and has built some initial visualization prototypes. This paper is a summary of the project's progress to date with emphasis on the conceptual and theoretical development to date. Secondarily, the paper describes, briefly, some of the prototyping efforts.

Author(s):  
Ronald Laurids Boring

As the commercial nuclear industry prepares to extend the life of existing power reactors and build new reactors, it becomes necessary to verify and validate the human-system interfaces found in the main control rooms and elsewhere at the plants. Verification has consisted of comparison of the system to human factors standards. Validation has consisted of operator-in-the-loop studies to identify potential shortcomings in the system design and establish the safety of operations of the system. The empirical studies in support of validation have typically been led by human factors experts, who treat the validation exercise as a type of detailed usability study to meet regulatory and internal quality standards. Human reliability analysis (HRA) has not held a prominent role in validation. In this paper, we explore the role of HRA to augment human factors studies. It is suggested that HRA can serve as an important driver in the design of validation studies by identifying those critical performance shaping factors known to lead to decreased operator reliability. Additionally, HRA can support verification by serving as a standard checklist against which to base expected operator performance.


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