AI Article Synopsis
- The paper explores the new genre of visualization atlases that utilize web-based data and visualizations to explain complex topics like climate change and AI.
- It presents a clear definition of visualization atlases, outlines 8 design patterns, and establishes categories based on interviews with creators.
- The study emphasizes the unique combination of exploratory visualization, narrative storytelling, and structured navigation in these atlases, while raising important questions about ethics and real-world impacts.
Article Abstract
This paper defines, analyzes, and discusses the emerging genre of visualization atlases. We currently witness an increase in web-based, data-driven initiatives that call themselves "atlases" while explaining complex, contemporary issues through data and visualizations: climate change, sustainability, AI, or cultural discoveries. To understand this emerging genre and inform their design, study, and authoring support, we conducted a systematic analysis of 33 visualization atlases and semi-structured interviews with eight visualization atlas creators. Based on our results, we contribute (1) a definition of a visualization atlas as a compendium of (web) pages aimed at explaining and supporting exploration of data about a dedicated topic through data, visualizations and narration. (2) a set of design patterns of 8 design dimensions, (3) insights into the atlas creation from interviews and (4) the definition of 5 visualization atlas genres. We found that visualization atlases are unique in the way they combine i) exploratory visualization, ii) narrative elements from data-driven storytelling and iii) structured navigation mechanisms. They target a wide range of audiences with different levels of domain knowledge, acting as tools for study, communication, and discovery. We conclude with a discussion of current design practices and emerging questions around the ethics and potential real-world impact of visualization atlases, aimed to inform the design and study of visualization atlases.
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| http://dx.doi.org/10.1109/TVCG.2024.3456311 | DOI Listing |
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