Reflecting on Design Paradigms of Animated Data Video Tools

要旨

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.

著者
Leixian Shen
The Hong Kong University of Science and Technology, Hong Kong, China
Haotian Li
Microsoft Research Asia, Beijing, China
Yun Wang
Microsoft Research Asia, Hong Kong, China
Huamin Qu
The Hong Kong University of Science and Technology, Hong Kong, China
DOI

10.1145/3706598.3713449

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713449

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Creative Tools

Annex Hall F205
7 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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