A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges

[2410.05579] A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Human-Computer Interaction arXiv:2410.05579 (cs) [Submitted on 8 Oct 2024] Title: A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges Authors: Md Dilshadur Rahman , Bhavana Doppalapudi , Ghulam Jilani Quadri , Paul Rosen View a PDF of the paper titled A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges, by Md Dilshadur Rahman and 3 other authors View PDF HTML (experimental) 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. Subjects: Human-Computer Interaction (cs.HC) Cite as: arXiv:2410.05579 [cs.HC] (or arXiv:2410.05579v1 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2410.05579 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1109/VIS60296.2025.00053 Focus to learn more DOI(s) linking to related resources Submission history From: Md Dilshadur Rahman [ view email ] [v1] Tue, 8 Oct 2024 00:26:58 UTC (12,533 KB) Full-text links: Access Paper: View a PDF of the paper titled A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges, by Md Dilshadur Rahman and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.HC < prev | next > new | recent | 2024-10 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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