English

Cicero: A Declarative Grammar for Responsive Visualization

Human-Computer Interaction 2022-03-17 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2203.08314,
  title  = {Cicero: A Declarative Grammar for Responsive Visualization},
  author = {Hyeok Kim and Ryan Rossi and Fan Du and Eunyee Koh and Shunan Guo and Jessica Hullman and Jane Hoffswell},
  journal= {arXiv preprint arXiv:2203.08314},
  year   = {2022}
}

Comments

14 pages, 15 figures, accepted to CHI 2022

R2 v1 2026-06-24T10:14:59.802Z