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费彦琳, 高天, 李俨达, 石洋, 曹楠, 陈思明. 基于人物传记文本数据的叙事可视化自动生成方法[J]. 计算机辅助设计与图形学学报. DOI: 10.3724/SP.J.1089.2023-00626
引用本文: 费彦琳, 高天, 李俨达, 石洋, 曹楠, 陈思明. 基于人物传记文本数据的叙事可视化自动生成方法[J]. 计算机辅助设计与图形学学报. DOI: 10.3724/SP.J.1089.2023-00626
Yanlin Fei, Tian Gao, Yanda Li, Yang Shi, Nan Cao, Siming Chen. BioVistory: an End-to-End Visualization Generation Approach to Supporting Storytelling with Biographical Text Data[J]. Journal of Computer-Aided Design & Computer Graphics. DOI: 10.3724/SP.J.1089.2023-00626
Citation: Yanlin Fei, Tian Gao, Yanda Li, Yang Shi, Nan Cao, Siming Chen. BioVistory: an End-to-End Visualization Generation Approach to Supporting Storytelling with Biographical Text Data[J]. Journal of Computer-Aided Design & Computer Graphics. DOI: 10.3724/SP.J.1089.2023-00626

基于人物传记文本数据的叙事可视化自动生成方法

BioVistory: an End-to-End Visualization Generation Approach to Supporting Storytelling with Biographical Text Data

  • 摘要: 传记可视化通过图形化语言描述人物的生平故事, 旨在从海量传记数据中提取重要信息并通过可视化获取洞见. 然而, 从传记文本数据中自动生成叙事可视化是一项具有挑战的工作. 为了应对该挑战, 本文开发了基于人物传记文本数据的叙事可视化自动生成系统BioVistory. 该系统以传记文本数据及其他辅助信息作为输入, 并将提取得到的事件、视角和阶段通过视觉隐喻自动生成传记可视化作品, 同时为用户提供不同语义层次的交互探索功能. 本文通过案例分析和用户实验对BioVistory进行了系统评估. 案例分析表明, 该系统可以自动生成高质量的传记可视化作品, 能有效支持数据驱动的叙事可视化并增强传记文本的表现力和感染力. 用户实验评估结果表明, 该系统支持了读者驱动的阅读体验, 提高学习成效, 增进用户参与度, 并减少用户的认知负荷.

     

    Abstract: A biographical visualization is a graphical description of a person's life to identify key information and gain insights from massive biographical data through visualization and visual analytics. However, automatically generating visualization from biographical text is challenging. To tackle this problem, we introduce BioVistory, an end-to-end visualization generation approach to supporting storytelling with biographical text data. BioVistory uses biographical text and auxiliary information as data input, and visualizes the extracted events, perspectives, and stages by visual metaphors. Users can interactively explore at different semantic levels. We evaluated BioVistory through case studies and a user study, showing that BioVistory can generate high-quality biographical visualizations and support data-driven visual storytelling as well as user-driven reading experience.

     

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