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.
翻译:叙述性可视化是一个强有力的交流工具,可以采用互动文章、幻灯片放映和数据视频等各种格式。这些格式都有其优点和弱点,但现有的作者工具只能支持一个产出目标。我们与七个领域专家进行了一系列的形成性访谈,以了解跨格式数据故事方面的需要和做法,并开发了Fidyll,这是一个用于撰写交互式数据故事和可探索解释的跨格式汇编器。我们的开放源码工具可以用来迅速创建各种格式,包括静态文章、低动文章、交互式文章、幻灯片放映和视频。我们通过一系列真实世界使用情景来评估我们的系统,显示它在数据新闻、科学出版和非盈利宣传领域如何使作者受益。我们展示Fidyll如何通过减少作者需要撰写80-90%的非叙述性标记的数量来提供表达力,而Idyll则是编写交互式文章的一种现有标记语言。