With the rapid development of digitalized technology, adoption of advanced Main Control Room (RCM) in Nuclear Power Plants (NPPs) has become an inevitable trend. However, the Human Machine Interface (HMI) and Man-machine Interaction (MMI) based on digitalized technologies will also introduce new types of human error and new risks into main control room. Traditional human error analysis is based on post-test interview and questionnaire survey which suffers from difficulty in backtracking the experiment for tracing to source of human errors of operators. This paper presents an experimental research on utilizing an eye tracking device for studying the characteristics of operators during they interact with NPP through HMIs by soft control. The presented approach can also be applied for the statistics of human errors and analysis of causes which will useful for the Probabilistic Safety Assessment (PSA), improvement of HMI design and operator training.

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