A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

[2306.06043] A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Human-Computer Interaction arXiv:2306.06043 (cs) [Submitted on 9 Jun 2023 ( v1 ), last revised 28 Jul 2024 (this version, v2)] Title: A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space Authors: Md Dilshadur Rahman , Ghulam Jilani Quadri , Bhavana Doppalapudi , Danielle Albers Szafir , Paul Rosen View a PDF of the paper titled A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space, by Md Dilshadur Rahman and 4 other authors View PDF HTML (experimental) Abstract: Annotations play a vital role in highlighting critical aspects of visualizations, aiding in data externalization and exploration, collaborative sensemaking, and visual storytelling. However, despite their widespread use, we identified a lack of a design space for common practices for annotations. In this paper, we evaluated over 1,800 static annotated charts to understand how people annotate visualizations in practice. Through qualitative coding of these diverse real-world annotated charts, we explored three primary aspects of annotation usage patterns: analytic purposes for chart annotations (e.g., present, identify, summarize, or compare data features), mechanisms for chart annotations (e.g., types and combinations of annotations used, frequency of different annotation types across chart types, etc.), and the data source used to generate the annotations. We then synthesized our findings into a design space of annotations, highlighting key design choices for chart annotations. We presented three case studies illustrating our design space as a practical framework for chart annotations to enhance the communication of visualization insights. All supplemental materials are available at { this https URL }. Subjects: Human-Computer Interaction (cs.HC) Cite as: arXiv:2306.06043 [cs.HC] (or arXiv:2306.06043v2 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2306.06043 Focus to learn more arXiv-issued DOI via DataCite Journal reference: IEEE Transactions on Visualization and Computer Graphics (2025) Related DOI : https://doi.org/10.1109/TVCG.2024.3456359 Focus to learn more DOI(s) linking to related resources Submission history From: Md Dilshadur Rahman [ view email ] [v1] Fri, 9 Jun 2023 17:12:01 UTC (5,573 KB) [v2] Sun, 28 Jul 2024 20:42:04 UTC (2,225 KB) Full-text links: Access Paper: View a PDF of the paper titled A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space, by Md Dilshadur Rahman and 4 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.HC < prev | next > new | recent | 2023-06 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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