论文标题
Erato：合作数据故事通过事实插值编辑
Erato: Cooperative Data Story Editing via Fact Interpolation
论文作者
论文摘要
作为叙事可视化的有效形式，视觉数据故事被广泛用于数据驱动的讲故事中，以传达复杂的见解并支持数据理解。尽管很重要，但它们很难创建，因为需要多种跨学科技能，例如数据分析和设计。在这项工作中，我们介绍了人机合作数据故事编辑系统Erato，它允许用户与计算机一起生成有见地，流利的数据故事。具体来说，ERATO仅需要用户提供的许多关键帧即可简要描述数据故事的主题和结构。同时，我们的系统利用一种新颖的插值算法来帮助用户插入密钥帧之间的中间帧以平滑过渡。我们通过一系列评估评估了Erato系统的有效性和实用性，包括图灵测试，受控的用户研究，绩效验证以及对三个专家用户的访谈。评估结果表明，所提出的插值技术能够生成连贯的故事内容，并帮助用户更有效地创建数据故事。
As an effective form of narrative visualization, visual data stories are widely used in data-driven storytelling to communicate complex insights and support data understanding. Although important, they are difficult to create, as a variety of interdisciplinary skills, such as data analysis and design, are required. In this work, we introduce Erato, a human-machine cooperative data story editing system, which allows users to generate insightful and fluent data stories together with the computer. Specifically, Erato only requires a number of keyframes provided by the user to briefly describe the topic and structure of a data story. Meanwhile, our system leverages a novel interpolation algorithm to help users insert intermediate frames between the keyframes to smooth the transition. We evaluated the effectiveness and usefulness of the Erato system via a series of evaluations including a Turing test, a controlled user study, a performance validation, and interviews with three expert users. The evaluation results showed that the proposed interpolation technique was able to generate coherent story content and help users create data stories more efficiently.
