Creating an animated data video enriched with audio narration takes a significant amount of time and effort and requires expertise. Users not only need to design complex animations, but also turn written text scripts into audio narrations and synchronize visual changes with the narrations. This paper presents WonderFlow, an interactive authoring tool, that facilitates narration-centric design of animated data videos. WonderFlow allows authors to easily specify a semantic link between text and the corresponding chart elements. Then it automatically generates audio narration by leveraging text-to-speech techniques and aligns the narration with an animation. WonderFlow provides a visualization structure-aware animation library designed to ease chart animation creation, enabling authors to apply pre-designed animation effects to common visualization components. It also allows authors to preview and iteratively refine their data videos in a unified system, without having to switch between different creation tools. To evaluate WonderFlow's effectiveness and usability, we created an example gallery and conducted a user study and expert interviews. The results demonstrated that WonderFlow is easy to use and simplifies the creation of data videos with narration-animation interplay.

翻译：制作一段配有音频叙述的数据动画视频需要大量时间和精力，且需要专业知识。用户不仅需要设计复杂的动画，还需将文字脚本转化为音频叙述，并将视觉变化与叙述同步。本文提出WonderFlow，一款交互式创作工具，支持以叙述为中心的数据动画视频设计。WonderFlow允许作者轻松指定文本与对应图表元素之间的语义关联，进而利用文本转语音技术自动生成音频叙述，并将叙述与动画同步。WonderFlow提供一套可视化结构感知的动画库，旨在简化图表动画创作，使作者能够将预设计的动画效果应用于常见可视化组件。同时，它允许作者在统一系统中预览并迭代优化数据视频，无需在不同创作工具间切换。为评估WonderFlow的有效性与易用性，我们创建了示例库，并开展用户研究与专家访谈。结果表明，WonderFlow易于使用，简化了叙事与动画交织的数据视频创作过程。