A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges
October 08, 2024 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challeng"
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Authors
Md Dilshadur Rahman, Bhavana Doppalapudi, Ghulam Jilani Quadri, Paul Rosen
arXiv ID
2410.05579
Category
cs.HC: Human-Computer Interaction
Citations
6
Venue
arXiv.org
Last Checked
3 days ago
Abstract
We present a comprehensive survey on the use of annotations in information visualizations, highlighting their crucial role in improving audience understanding and engagement with visual data. Our investigation encompasses empirical studies on annotations, showcasing their impact on user engagement, interaction, comprehension, and memorability across various contexts. We also study the existing tools and techniques for creating annotations and their diverse applications, enhancing the understanding of both practical and theoretical aspects of annotations in data visualization. Additionally, we identify existing research gaps and propose potential future research directions, making our survey a valuable resource for researchers, visualization designers, and practitioners by providing a thorough understanding of the application of annotations in visualization.
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