Optimization design of nuclear power plant monitoring display interface based on SEEV model

Based on the SEEV model, the nuclear power plant monitoring and display interface is optimized and designed. First, we summarize the key contents and existing problems of the interface, then introduce the salience and effort factors in the SEEV model to optimize the design, and finally use eye tracking methods to study the old and new interfaces. Combined with the analysis of eye movement experimental data, the visual cognitive characteristics of subjects performing visual search tasks in different interfaces were obtained. Experimental results show that combining the SEEV model can better guide subjects' attention allocation strategies, thereby improving work efficiency.