R
Ronald L. Boring
Researcher at Idaho National Laboratory
Publications - 240
Citations - 2053
Ronald L. Boring is an academic researcher from Idaho National Laboratory. The author has contributed to research in topics: Human reliability & Control room. The author has an hindex of 20, co-authored 213 publications receiving 1802 citations. Previous affiliations of Ronald L. Boring include Sandia National Laboratories & Organisation for Economic Co-operation and Development.
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Journal ArticleDOI
Shared understanding for collaborative control
TL;DR: Three experiments in which human operators were teamed with a mixed-initiative robot control system to accomplish various indoor search and exploration tasks provide an objective means to contrast different modes of robot autonomy and to evaluate both the usability of the interface and the effectiveness of autonomous robot behavior.
Proceedings ArticleDOI
The origins of the SPAR-H method’s performance shaping factor multipliers
TL;DR: This paper documents the historic development of the SPAR-H PSF multipliers, from the initial use of nominal error rates, to the selection of the eight PSFs, and the mapping of multipliers to available data sources such as a Technique for Human Error Rate Prediction (THERP).
Journal ArticleDOI
Human Error Quantification Using Performance Shaping Factors in the SPAR-H Method
TL;DR: In this paper, a cognitively based human reliability analysis (HRA) quantification technique for estimating the human error probabilities (HEPs) associated with operator and crew actions at nuclear power plants is described.
Journal ArticleDOI
Issues in Benchmarking Human Reliability Analysis Methods: A Literature Review
TL;DR: A literature review was conducted, reviewing past benchmarking studies in the areas of psychology and risk assessment, and a number of lessons learned is presented in order to aid in the design of future HRA benchmarking endeavors.
Proceedings ArticleDOI
The Measure of human error: Direct and indirect performance shaping factors
TL;DR: In this article, the authors explore the role of direct and indirect measures in human reliability analysis (HRA) and the implications that measurement theory has on analyses and applications using PSFs.