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WonderFlow: Narration-Centric Design of Animated Data Videos

Lookup NU author(s): Dr Xinhuan ShuORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

IEEECreating an animated data video with audio narration is a time-consuming and complex task that requires expertise. It involves designing complex animations, turning written scripts into audio narrations, and synchronizing 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 semantic links 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 structure-aware animation library designed to ease chart animation creation, enabling authors to apply pre-designed animation effects to common visualization components. Additionally, authors can preview and refine their data videos within the same system, without having to switch between different creation tools. A series of evaluation results confirmed that WonderFlow is easy to use and simplifies the creation of data videos with narration-animation interplay.


Publication metadata

Author(s): Wang Y, Shen L, You Z, Shu X, Lee B, Thompson J, Zhang H, Zhang D

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Visualization and Computer Graphics

Year: 2024

Volume: 31

Issue: 9

Pages: 4638-4654

Print publication date: 01/09/2025

Online publication date: 10/06/2024

Acceptance date: 02/04/2018

Date deposited: 17/11/2024

ISSN (print): 1077-2626

ISSN (electronic): 1941-0506

Publisher: IEEE Computer Society

URL: https://doi.org/10.1109/TVCG.2024.3411575

DOI: 10.1109/TVCG.2024.3411575

PubMed id: 38857128


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Funding

Funder referenceFunder name
Artificial Intelligence Graduate School Program, Yonsei University
Institute of Information and Communications Technology Planning and Evaluation (IITP)
RS-2020-II201361

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