This paper studied visual attention behavior characteristics during reading process. Several visualization such as eye movement heatmap, doughnut chart, node link graph, and word cloud were designed to extract eye movement data and text themes for analysis of reading behavior characteristics and document structure. A visual aid prototype system for reading assistance was developed to record the eye movement data of expert users (such as teachers), and the visualization can be shared to novice users (such as students). The user study results showed that the average scores of objective and subjective questions in the experimental group were increased by 31.8% and 55.0%, respectively, and the total reading and answering time was reduced by 9.7%. It can be seen that this system can effectively help readers improve reading efficiency as well as quickly grasp the focus of the article and better understand the content of the article, so that it has certain effectiveness and feasibility.