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. C 2011 Wiley Periodicals, Inc.
Certainly, a nuclear power plant (NPP) is a complex system and requires high reliability. Engineering technology plays an important role in NPP that requires complex technical equipment and interfaces in order to achieve public security and working safety. Through training, operators can understand the nuclear power system and further establish the fit between human operators and the system, in order to reduce human errors and to ensure the working safety of the control room of NPP. However, the operator trainings for the control room of NPP are difficult and time-consuming. Virtual control room is thus developed using the virtual reality (VR) technology to help the training process. Presently several researches have developed virtual system for NPP for the purpose of training. However, whether the virtual training system for the control room of NPP can give users realistic immersive context as in the real environment is unknown. Whether these virtual systems are helpful in training performance are yet to be confirmed. For this reason, the control room of Lung-Men NPP of Taiwan was constructed with VR technology in this study in order to compare the performances of two VR representation methods (Desktop VR and Project VR). A searching task was planned in which the operators have to find out the objects appointed by the experimenter in the virtual interface of the main control room. The time to complete the task was collected as dependent variables in this experiment. The subjects have to complete the questionnaire that was developed for evaluating the usability of the virtual interface of MRC after finishing the experiment. The result showed that the performance of the virtual interface of NPP presented by the VR projector was better than the desktop.
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