Document: NUREG-0800
Document ID: eedf1a7c-578e-463a-9608-b06af6312cf1
Document Type: srp
Title: HUMAN FACTORS ENGINEERING
Source: NUREG-0800
Source URL: https://www.nrc.gov/docs/ML1310/ML13108A095.pdf
Revision Date: 2023-06
Chapter: 18
Section ID: 18.0
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CFR Title: 

Content:
itor the plant, or inattention, can also cause tasks to be delayed or overlooked. This condition is sometimes caused by “underload,” i.e., insufficient workload. Insufficient workload is a concern in highly automated plants where the operator’s primary role is monitoring and supervisory control. Operators perform best when workload is neither too high nor too low. Another factor impacting task performance is situation awareness. A crew may not perform a task accurately and on time because they have a misunderstanding of the current plant state. In this case they may not perform the necessary tasks because they do know they need to be done. Poor situation awareness can result from high workload because the workload does not provide staff with the time necessary to maintain accurate situation awareness. High workload, inattention, and poor SA are examples of the factors that can lead to poor task performance and hence should be considered in staffing evaluations. NUREG-7190 provides additional information on analysis methods for these factors. This appendix supplements the guidance in NUREG-0800, NUREG-0711 and NUREG-1791 and is primarily focused on methods to assess workload during the task analysis phase of HFE design. The task analysis results, in turn, support the staffing and qualification analysis. 18.0-29 Draft Revision 3 – July 2015 METHODOLOGY TO ASSESS THE WORKLOAD OF CHALLENGING OPERATIONAL CONDITIONS The methodology to assess workload of challenging operational conditions is divided into seven steps, see Figure 1. Each of these steps is described below: Figure 1: Methodology to assess the workload of challenging operational conditions 1. Identify Challenging Operating Conditions The applicant should identify the plant specific operating conditions that are challenging and create high workload using the considerations presented below. Unlike integrated system validation scenario development where all operational conditions identified in the sample