计算机科学
讲故事
可视化
插值(计算机图形学)
人机交互
数据可视化
情报检索
数据挖掘
叙述的
人工智能
图像(数学)
语言学
哲学
作者
Mengdi Sun,Ligan Cai,Weiwei Cui,Yanqiu Wu,Yang Shi,Nan Cao
出处
期刊:IEEE Transactions on Visualization and Computer Graphics
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-11
标识
DOI:10.1109/tvcg.2022.3209428
摘要
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.
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