arXiv Open Access 2022

Cicero: A Declarative Grammar for Responsive Visualization

Hyeok Kim Ryan Rossi Fan Du Eunyee Koh Shunan Guo +2 lainnya
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Abstrak

Designing responsive visualizations can be cast as applying transformations to a source view to render it suitable for a different screen size. However, designing responsive visualizations is often tedious as authors must manually apply and reason about candidate transformations. We present Cicero, a declarative grammar for concisely specifying responsive visualization transformations which paves the way for more intelligent responsive visualization authoring tools. Cicero's flexible specifier syntax allows authors to select visualization elements to transform, independent of the source view's structure. Cicero encodes a concise set of actions to encode a diverse set of transformations in both desktop-first and mobile-first design processes. Authors can ultimately reuse design-agnostic transformations across different visualizations. To demonstrate the utility of Cicero, we develop a compiler to an extended version of Vega-Lite, and provide principles for our compiler. We further discuss the incorporation of Cicero into responsive visualization authoring tools, such as a design recommender.

Topik & Kata Kunci

Penulis (7)

H

Hyeok Kim

R

Ryan Rossi

F

Fan Du

E

Eunyee Koh

S

Shunan Guo

J

Jessica Hullman

J

Jane Hoffswell

Format Sitasi

Kim, H., Rossi, R., Du, F., Koh, E., Guo, S., Hullman, J. et al. (2022). Cicero: A Declarative Grammar for Responsive Visualization. https://arxiv.org/abs/2203.08314

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
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arXiv
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Open Access ✓