IEEE VIS 2024 Content: How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools

How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools

Qing Chen -

Shixiong Cao -

Jiazhe Wang -

Nan Cao -

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DOI: 10.1109/TVCG.2023.3261320

Room: Bayshore I

2024-10-17T16:36:00ZGMT-0600Change your timezone on the schedule page
2024-10-17T16:36:00Z
Exemplar figure, described by caption below
Number of relevant research publications or tools in different genres for narrative visualization in chronological order. This matrix visualizes the distribution of research publications and tools across six narrative visualization genres: Annotated Chart, Infographic, Timeline & Storyline, Data Comics, Scrollytelling & Slideshow, and Data Video, from before 2010 through 2022. Each colored circle represents a type of tool: Design Space (red), Authoring Tool (orange), ML/AI-supported Tool (green), or ML/AI-generator Tool (purple). The numbers represent the total count of publications or tools per genre per year, providing insights into the evolution and focus of research in narrative visualization over time.
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Keywords

Data Visualization, Automatic Visualization, Narrative Visualization, Design Space, Authoring Tools, Survey

Abstract

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.