Critical Reflections on Visualization Authoring Systems
© 1995-2012 IEEE. An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, system architectures, and user interfaces, it is challenging to directly compare these systems using tradi...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/136628 |
| _version_ | 1826217285038112768 |
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| author | Satyanarayan, Arvind Lee, Bongshin Ren, Donghao Heer, Jeffrey Stasko, John Thompson, John Brehmer, Matthew Liu, Zhicheng |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Satyanarayan, Arvind Lee, Bongshin Ren, Donghao Heer, Jeffrey Stasko, John Thompson, John Brehmer, Matthew Liu, Zhicheng |
| author_sort | Satyanarayan, Arvind |
| collection | MIT |
| description | © 1995-2012 IEEE. An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, system architectures, and user interfaces, it is challenging to directly compare these systems using traditional evaluative methods. Recognizing the value of contextualizing our decisions in the broader design space, we present critical reflections on three systems we developed-Lyra, Data Illustrator, and Charticulator. This paper surfaces knowledge that would have been daunting within the constituent papers of these three systems. We compare and contrast their (previously unmentioned) limitations and trade-offs between expressivity and learnability. We also reflect on common assumptions that we made during the development of our systems, thereby informing future research directions in visualization authoring systems. |
| first_indexed | 2024-09-23T17:00:59Z |
| format | Article |
| id | mit-1721.1/136628 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T17:00:59Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1366282023-11-07T19:53:59Z Critical Reflections on Visualization Authoring Systems Satyanarayan, Arvind Lee, Bongshin Ren, Donghao Heer, Jeffrey Stasko, John Thompson, John Brehmer, Matthew Liu, Zhicheng Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory © 1995-2012 IEEE. An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, system architectures, and user interfaces, it is challenging to directly compare these systems using traditional evaluative methods. Recognizing the value of contextualizing our decisions in the broader design space, we present critical reflections on three systems we developed-Lyra, Data Illustrator, and Charticulator. This paper surfaces knowledge that would have been daunting within the constituent papers of these three systems. We compare and contrast their (previously unmentioned) limitations and trade-offs between expressivity and learnability. We also reflect on common assumptions that we made during the development of our systems, thereby informing future research directions in visualization authoring systems. 2021-10-27T20:36:20Z 2021-10-27T20:36:20Z 2019 2021-02-04T16:23:44Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/136628 en 10.1109/TVCG.2019.2934281 IEEE Transactions on Visualization and Computer Graphics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Satyanarayan, Arvind Lee, Bongshin Ren, Donghao Heer, Jeffrey Stasko, John Thompson, John Brehmer, Matthew Liu, Zhicheng Critical Reflections on Visualization Authoring Systems |
| title | Critical Reflections on Visualization Authoring Systems |
| title_full | Critical Reflections on Visualization Authoring Systems |
| title_fullStr | Critical Reflections on Visualization Authoring Systems |
| title_full_unstemmed | Critical Reflections on Visualization Authoring Systems |
| title_short | Critical Reflections on Visualization Authoring Systems |
| title_sort | critical reflections on visualization authoring systems |
| url | https://hdl.handle.net/1721.1/136628 |
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