The potential for human errors in conducting security related screening operations can lead to inadvertent and adverse decision outcomes. This paper overviews an initial mathematical framework designed to model and quantify the various human factors and decision outcomes that may occur in conducting security screening operations, such as U.S. port of entry radiological and nuclear (rad/nuc) security screening. This framework is based on the Human Error Assessment and Reduction (HEART) technique. As applied here, the framework incorporates a set of rules for human engagement, including a prescribed concept of operations (CONOPS) and deviations that may occur from this established CONOPS due to inadvertent personnel decision errors. We also review some of the various factors that may adversely influence such decisions by security screening personnel. Some of these factors include current workload, environmental conditions, training, and various other intangible factors. Using the HEART methodology, we translate each of these factors into error producing conditions, their effects on error, an assessed proportion of effects, and finally the overall probability of human error at each stage of the screening process. We then include a small scale example to demonstrate the methodology and results based on an assumed set of input conditions at a notional port of entry.
Revised: June 25, 2020 |
Published: June 24, 2020
Citation
Brigantic R.T., C.J. Perkins, B.A. Stanfill, M.R. Oster, and A.V. Belooussov. 2020.Quantifying Human Behavior and Decision Errors in Security Screening Operations. In Proceedings of the Industrial and Systems Engineering Research Conference (ISERC 2016), May 21-24, 2016, Anaheim, CA, 673-678. Norcross, Georgia:Institute of Industrial Engineers.PNNL-SA-115678.