Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box

[2606.09835] Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box Skip to main content Search Submit Donate Log in Computer Science > Human-Computer Interaction arXiv:2606.09835 (cs) [Submitted on 20 Apr 2026 ( v1 ), last revised 28 Aug 2026 (this version, v2)] Title: Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box Authors: Derya Akbaba , Camilla Svensson , Claudia Torelli , Martin Callmeryd , Miriah Meyer View PDF HTML (experimental) Abstract: Visualization researchers utilize workshops both for applied research and to engage different populations with visualization-based activities. While there are many benefits to running visualization workshops, their utility and impact rely on the presence of a researcher who has deep knowledge about visualization theory and practice. In this work, we introduce workshop-in-a-box as a design concept intended to challenge the researcher-centric approach to data physicalization workshops. Through a design study with a socially innovative organization, we deployed several data physicalization workshops that our collaborator ran instead of us. Based on this experience, along with two accompanying case studies that validate the concept, we present material and procedural considerations for how to put data physicalization workshops into a box and the implications it has for extending visualization research outside the bounds of academia. Subjects: Human-Computer Interaction (cs.HC) ; Computers and Society (cs.CY) Cite as: arXiv:2606.09835 [cs.HC] (or arXiv:2606.09835v2 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2606.09835 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Computer Graphics Forum (EuroVis), 45 (3), 2026 Related DOI : https://doi.org/10.1111/cgf.70453 Focus to learn more DOI(s) linking to related resources Submission history From: Derya Akbaba [ view email ] [v1] Mon, 20 Apr 2026 08:02:22 UTC (24,666 KB) [v2] Fri, 28 Aug 2026 07:45:14 UTC (18,013 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: cs.HC < prev | next > new | recent | 2026-06 Change to browse by: cs cs.CY References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation 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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