| 摘要: |
| 研究阅读过程中的视觉注意行为特征，基于眼动数据和文本主题进行阅读行为特征和文档结构的分析，设计了眼动热区图、圆环图、节点链接图、词云等可视化形式.在此基础上开发了面向阅读辅助的可视分析原型系统，该系统记录专家用户（如老师）的眼动数据，然后通过可视化形式分享给新手用户（如学生）.用户实验结果表明，实验组用户的阅读理解客观题和主观题得分平均值分别比对照组用户提高了31.8%和55.0%，阅读和答题总用时比对照组用户平均减少了9.7%，可以有效帮助读者提高阅读效率、快速抓住文章重点和更好地理解文章内容，具有一定的有效性和可行性. |
| 关键词: 眼动跟踪 眼动数据 可视分析 热区图 人机交互 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金（61772468）；浙江省属高校基本科研业务费专项资金（RF-B2019001） |
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| Eye Tracking Data and Text Visual Analytics for Reading Assistance |
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CHENG Shi-Wei, HU Yi-Lin, SUN Yu-Jie
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School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
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| Abstract: |
| 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. |
| Key words: eye tracking eye movement data visual analytics heat map human-computer interaction |
