对动画数据视频工具设计范式的反思
Reflecting on Design Paradigms of Animated Data Video Tools
AI总结：
本文提出一个从组件类型与人机工作分配两个维度理解数据视频创作工具的框架，分析46个现有工具并总结设计范式，指出不足并展望未来方向。
摘要：
动画数据视频近年来获得了显著普及。然而，由于创建和协调多样化组件（如可视化、动画、音频等）的复杂性，制作数据视频仍然具有挑战性。尽管已经开发了众多工具来简化这一过程，但对其设计范式仍缺乏全面的理解和反思，难以为未来发展提供指导。为弥补这一不足，我们提出了一个框架，从两个维度理解数据视频创作工具：一是需要创建和协调哪些数据视频组件，包括视觉、运动、叙事和音频组件；二是如何支持创建与协调。通过将该框架应用于分析46个现有工具，我们基于这些工具中人与AI之间不同的工作分配，总结了创建和协调每个组件的关键设计范式。最后，我们分享了详细的反思，从整体视角指出存在的不足，并讨论了解决这些问题的未来方向。
英文摘要：
Animated data videos have gained significant popularity in recent years. However, authoring data videos remains challenging due to the complexity of creating and coordinating diverse components (e.g., visualization, animation, audio, etc.). Although numerous tools have been developed to streamline the process, there is a lack of comprehensive understanding and reflection of their design paradigms to inform future development. To address this gap, we propose a framework for understanding data video creation tools along two dimensions: what data video components to create and coordinate, including visual, motion, narrative, and audio components, and how to support the creation and coordination. By applying the framework to analyze 46 existing tools, we summarized key design paradigms of creating and coordinating each component based on the varying work distribution for humans and AI in these tools. Finally, we share our detailed reflections, highlight gaps from a holistic view, and discuss future directions to address them.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
