Epigraphics: Message-Driven Infographics Authoring

被引:0
|
作者
Zhou, Tongyu [1 ]
Huang, Jeff [1 ]
Chan, Gromit Yeuk-Yin [2 ]
机构
[1] Brown Univ, Providence, RI 02912 USA
[2] Adobe Res, San Jose, CA USA
关键词
infographics authoring; visual storytelling; data visualization; CREATIVITY; GENERATION; GRAMMAR; DESIGN;
D O I
10.1145/3613904.3642172
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The message a designer wants to convey plays a pivotal role in directing the design of an infographic, yet most authoring work-flows start with creating the visualizations or graphics first without gauging whether they fit the message. To address this gap, we propose Epigraphics, a web-based authoring system that treats an "epigraph" as the first-class object, and uses it to guide infographic asset creation, editing, and syncing. The system uses the text-based message to recommend visualizations, graphics, data filters, color palettes, and animations. It further supports between-asset interactions and fine-tuning such as recoloring, highlighting, and animation syncing that enhance the aesthetic cohesiveness of the assets. A gallery and case studies show that our system can produce infographics inspired by existing popular ones, and a task-based usability study with 10 designers show that a text-sourced workflow can standardize content, empower users to think more about the big picture, and facilitate rapid prototyping.
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页数:18
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