Investigation of automation deployment in the main control room of nuclear power plants by using adaptive automation

✍ Scribed by Yung-Tsan Jou; Tzu-Chung Yenn; Li-Chen Yang

• Publisher: John Wiley and Sons
• Year: 2011
• Tongue: English
• Weight: 344 KB
• Volume: 21
• Category: Article
• ISSN: 1090-8471
• DOI: 10.1002/hfm.20271

✦ Synopsis

Abstract

Recently, with the progress of computer technology, the digitalization of human–system interface (HSI) in the main control room (MCR) of advanced nuclear power plants (NPPs) has become an important issue. A higher level of automation means that the computers execute the greater part of the task. The frequency, however, of automation‐induced system failures, including human errors, prompts us to more closely investigate the influences of automation. The objective of this study is to measure the effects of adaptive automation on the primary task performance, operator situation awareness (SA), and workload in an advanced MCR of an advanced NPP to reduce the number of failures and improve human performance. This study selects automatic mode and semi‐automatic mode to compose five different types of automation allocations. The experiment scenario is a reactor shutdown task. A personal computer transient analyzer (PCTran) is used to simulate the HSI of an MCR. Twelve participants are required to perform the experiment scenario on the automation allocation types. The dependent variables were the primary task performance; the subjective workload was measured using an NASA‐Task Load Index (NASA‐TLX) questionnaire; and three levels of SA were estimated by SA queries. Experimental results revealed that the automation allocations made up of higher ratio automatic modes led to superior primary task performance, lower operator workload, and lower frequency of human errors. In the high ratio automatic mode allocation, the operators have the lowest SA queries score. This study provides additional information for future digital HSI design in the MCRs of advanced NPPs. © 2011 Wiley Periodicals, Inc.