The emerging practice of data-driven storytelling is framing data using familiar narrative mechanisms such as slideshows, videos, and comics to make even highly complex phenomena understandable. However, current data stories are still not utilizing the full potential of the storytelling domain. One reason for this is that current data-driven storytelling practice does not leverage the full repertoire of media that can be used for storytelling, such as the spoken word, e-learning, and video games. In this paper, we propose a taxonomy focused specifically on media types for the purpose of widening the purview of data-driven storytelling simply by putting more tools into the hands of designers. Using our taxonomy as a generative tool, we also propose three novel storytelling mechanisms, including for live-streaming, gesture-driven oral presentations, and textual reports that dynamically incorporate visual representations.
翻译:数据驱动故事描述的新兴做法是利用幻灯片、视频和漫画等熟悉叙事机制来构建数据,使甚至非常复杂的现象都能理解。然而,当前数据故事仍然没有充分利用叙事领域的全部潜力。原因之一是,当前数据驱动的故事描述实践并没有充分利用可用于叙事的媒体的全套组合,如语音、电子学习和视频游戏。本文建议专门以媒体类型为重点分类,目的只是通过将更多工具放入设计师手中来扩大数据驱动故事讲述的范围。我们用我们分类学作为一种传说工具,我们还提出三个新颖的故事描述机制,包括活流、手势驱动的口头介绍和动态纳入视觉表述的文字报告。