论文标题
Fidyll：跨格式数据故事和可探索说明的编译器
Fidyll: A Compiler for Cross-Format Data Stories & Explorable Explanations
论文作者
论文摘要
叙事可视化是一种强大的交流工具，可以采用各种格式，例如交互式文章，幻灯片和数据视频。这些格式各自具有其优点和劣势，但是现有的创作工具仅支持一个输出目标。我们对七个领域专家进行了一系列形成性的访谈，以了解跨格式数据故事的需求和实践，并开发了Fidyll，这是一种跨格式编译器，用于撰写交互式数据故事和可探索的解释。我们的开源工具可用于快速创建格式，包括静态文章，低动作文章，交互式文章，幻灯片和视频。我们通过一系列现实世界的使用场景评估了我们的系统，展示了它如何使数据新闻，科学出版和非营利性倡导领域中的作者受益。我们通过减少作者需要写入80-90％的非叙事标记的量来提供表达杠杆作用，而与iDyll相比，作者需要写入80-90％。
Narrative visualization is a powerful communicative tool that can take on various formats such as interactive articles, slideshows, and data videos. These formats each have their strengths and weaknesses, but existing authoring tools only support one output target. We conducted a series of formative interviews with seven domain experts to understand needs and practices around cross-format data stories, and developed Fidyll, a cross-format compiler for authoring interactive data stories and explorable explanations. Our open-source tool can be used to rapidly create formats including static articles, low-motion articles, interactive articles, slideshows, and videos. We evaluate our system through a series of real-world usage scenarios, showing how it benefits authors in the domains of data journalism, scientific publishing, and nonprofit advocacy. We show how Fidyll, provides expressive leverage by reducing the amount of non-narrative markup that authors need to write by 80-90% compared to Idyll, an existing markup language for authoring interactive articles.
