Chen Qing, Cao Shixiong, Wang Jiazhe, Cao Nan
IEEE Trans Vis Comput Graph. 2024 Aug;30(8):4429-4448. doi: 10.1109/TVCG.2023.3261320. Epub 2024 Jul 1.
In recent years, narrative visualization has gained much attention. Researchers have proposed different design spaces for various narrative visualization genres and scenarios to facilitate the creation process. As users' needs grow and automation technologies advance, increasingly more tools have been designed and developed. In this study, we summarized six genres of narrative visualization (annotated charts, infographics, timelines & storylines, data comics, scrollytelling & slideshow, and data videos) based on previous research and four types of tools (design spaces, authoring tools, ML/AI-supported tools and ML/AI-generator tools) based on the intelligence and automation level of the tools. We surveyed 105 papers and tools to study how automation can progressively engage in visualization design and narrative processes to help users easily create narrative visualizations. This research aims to provide an overview of current research and development in the automation involvement of narrative visualization tools. We discuss key research problems in each category and suggest new opportunities to encourage further research in the related domain.
近年来，叙事可视化受到了广泛关注。研究人员针对各种叙事可视化类型和场景提出了不同的设计空间，以促进创作过程。随着用户需求的增长和自动化技术的进步，越来越多的工具被设计和开发出来。在本研究中，我们基于先前的研究总结了六种叙事可视化类型（注释图表、信息图、时间线与故事线、数据漫画、滚动叙事与幻灯片展示以及数据视频），并基于工具的智能和自动化水平总结了四种工具类型（设计空间、创作工具、机器学习/人工智能支持的工具以及机器学习/人工智能生成工具）。我们调查了105篇论文和工具，以研究自动化如何逐步参与可视化设计和叙事过程，帮助用户轻松创建叙事可视化。本研究旨在概述叙事可视化工具自动化参与方面的当前研究与开发情况。我们讨论了每个类别中的关键研究问题，并提出了新的机会，以鼓励在相关领域进行进一步研究。
