Abstract
Making visually appealing and meaningful diagrams involves craftsmanship in designing the visual representation, drawing shapes, and laying them out. Can the effort spent on diagrams by an expert be reused by others, especially those without the expertise in design and drawing? In this paper, we outline our prior work on Penrose, a diagramming tool with first-class support for reusing visual representations. The nature of our approach to reusability necessitates a domain-agnostic method to automatically lay out a diagram. We highlight our existing approach for general diagram layout and styling, and propose a new composable approach for codifying visual representations to reuse expertise that cuts across domains.
W. Ni, S. Estep and H.-S. Harriman—Authors contributed equally.
J. Minarčík—Independent Researcher.
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References
Clark, C., Bohrer, R.: Homotopy type theory for sewn quilts. In: Proceedings of the 11th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design, FARM 2023 (2023)
Ma’ayan, D., Ni, W., Ye, K., Kulkarni, C., Sunshine, J.: How domain experts create conceptual diagrams and implications for tool design. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020 (2020)
Nawrocki, W., Ayers, E.W., Ebner, G.: An extensible user interface for lean 4. In: Proceedings of the 14th International Conference on Interactive Theorem Proving, ITP 2023 (2023)
Ye, K., et al.: Penrose: from mathematical notation to beautiful diagrams. ACM Trans. Graph (2020)
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Ni, W., Estep, S., Harriman, HS., Minarčík, J., Sunshine, J. (2024). Codifying Visual Representations. In: Lemanski, J., Johansen, M.W., Manalo, E., Viana, P., Bhattacharjee, R., Burns, R. (eds) Diagrammatic Representation and Inference. Diagrams 2024. Lecture Notes in Computer Science(), vol 14981. Springer, Cham. https://doi.org/10.1007/978-3-031-71291-3_37
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DOI: https://doi.org/10.1007/978-3-031-71291-3_37
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