Reflecting on Design Paradigms of Animated Data Video Tools

Fuente: arXiv
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Hauptverfasser: Shen, Leixian, Li, Haotian, Wang, Yun, Qu, Huamin
Format: Preprint
Veröffentlicht: 2025
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author Shen, Leixian
Li, Haotian
Wang, Yun
Qu, Huamin
author_facet Shen, Leixian
Li, Haotian
Wang, Yun
Qu, Huamin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_04801
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Reflecting on Design Paradigms of Animated Data Video Tools
Shen, Leixian
Li, Haotian
Wang, Yun
Qu, Huamin
Human-Computer Interaction
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.
title Reflecting on Design Paradigms of Animated Data Video Tools
topic Human-Computer Interaction
url https://arxiv.org/abs/2502.04801