In recent years, narrative visualization has gained a lot of attention. Researchers have proposed different design spaces for various narrative visualization types and scenarios to facilitate the creation process. As users' needs grow and automation technologies advance, more and more tools have been designed and developed. In this paper, we surveyed 122 papers and tools to study how automation can progressively engage in the visualization design and narrative process. By investigating the narrative strengths and the drawing efforts of various visualizations, we created a two-dimensional coordinate to map different visualization types. Our resulting taxonomy is organized by the seven types of narrative visualization on the +x-axis of the coordinate and the four automation levels (i.e., design space, authoring tool, AI-supported tool, and AI-generator tool) we identified from the collected work. The taxonomy 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.
翻译:近年来,叙事可视化引起了许多关注,研究人员为各种叙事可视化类型和情景提出了不同的设计空间,以促进创建过程。随着用户需求的增长和自动化技术的进步,我们设计并开发了越来越多的工具。在本文件中,我们调查了122份文件和工具,研究自动化如何逐步参与可视化设计和叙事过程。通过调查叙事优势和各种可视化努力,我们建立了一个双维协调器,以绘制不同可视化类型。我们由此形成的分类由七种关于坐标+x轴的叙事可视化和我们从所收集的工作中查明的四个自动化级别(即设计空间、作者工具、AI支持的工具和AI-genera工具)所组织。分类学的目的是提供当前在描述可视化工具自动化参与方面的研究与发展概况。我们讨论了每个类别的关键研究问题,并提出了鼓励在相关领域开展进一步研究的新机会。