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.

翻译：近年来，叙事可视化备受关注。研究人员针对不同叙事可视化类型和场景提出了多种设计空间，以促进其创作过程。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开发出来。本研究基于前期成果，将叙事可视化归纳为六种类型（注释图表、信息图、时间线/故事线、数据漫画、滚动叙事/幻灯片和数据视频），并根据工具的智能化和自动化程度将其分为四种工具类型（设计空间、创作工具、机器学习/人工智能辅助工具和机器学习/人工智能生成工具）。我们调研了105篇论文及相关工具，研究自动化如何逐步介入可视化设计与叙事过程，以帮助用户轻松创建叙事可视化。本研究旨在概述当前叙事可视化工具中自动化参与的研究与开发现状。我们讨论了每类工具中的关键研究问题，并提出了新机遇，以鼓励相关领域的进一步研究。