ScrollyVis: Interactive visual authoring of guided dynamic narratives for scientific scrollytelling
Not on the map. Why?
Abstract (arXiv)
Visual stories are an effective and powerful tool to convey specific information to a diverse public. Scrollytelling is a recent visual storytelling technique extensively used on the web, where content appears or changes as users scroll up or down a page. By employing the familiar gesture of scrolling as its primary interaction mechanism, it provides users with a sense of control, exploration and discoverability while still offering a simple and intuitive interface. In this paper, we present a novel approach for authoring, editing, and presenting data-driven scientific narratives using scrollytelling. Our method flexibly integrates common sources such as images, text, and video, but also supports more specialized visualization techniques such as interactive maps as well as scalar field and mesh data visualizations. We show that scrolling navigation can be used to traverse dynamic narratives and demonstrate how it can be combined with interactive parameter exploration. The resulting system consists of an extensible web-based authoring tool capable of exporting stand-alone stories that can be hosted on any web server. We demonstrate the power and utility of our approach with case studies from several of diverse scientific fields and with a user study including 12 participants of diverse professional backgrounds. Furthermore, an expert in creating interactive articles assessed the usefulness of our approach and the quality of the created stories.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jul 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 1.
3 papers.
- 2023Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaborationcited by 13
- 2024Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directionscited by 6
- 2025ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMscited by 2
- 2025ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs4 Feb 2025
- 2024Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions29 Sep 2024
- 2023Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration27 Sep 2023