论文标题
我们讲述的有关数据的故事：数据驱动故事的媒体类型
The Stories We Tell About Data: Media Types for Data-Driven Storytelling
论文作者
论文摘要
数据驱动的讲故事的新兴实践是使用熟悉的叙事机制（例如幻灯片，视频和漫画）来构架数据，以使甚至高度复杂的现象可以理解。但是，当前的数据故事仍然没有利用讲故事领域的全部潜力。原因之一是当前的数据驱动讲故事的实践并不能利用可用于讲故事的媒体的完整曲目，例如口语，电子学习和视频游戏。在本文中，我们提出了一种专门针对媒体类型的分类法，目的是通过将更多的工具掌握在设计师的手中来扩大数据驱动的讲故事的范围。使用我们的分类法作为生成工具，我们还提出了三种新颖的讲故事机制，包括用于实时流程，手势驱动的口头演示以及动态结合视觉表示的文本报告。
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.
