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Research | Open Access

Understanding transitions in animated bar charts

Datong Wei1 , Can Liu1 , Xiaolong (Luke) Zhang2 , Xiaoru Yuan1,3 ( )
Key Laboratory of Machine Perception (Ministry of Education), and the School of Intelligence Science and Technology, Peking University, Beijing, China
College of Information Sciences and Technology, Pennsylvania State University, University Park, USA
National Engineering Laboratory for Big Data Analysis and Application, Peking University, Beijing, China
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Abstract

Animated bar charts have gained popularity on the Internet for their ability to display historical rankings through smooth animated transitions that clearly show the rankings over time. To investigate the usage scenarios of these charts, we analyzed the pop-up comments to understand viewers’ focus. Our findings suggest that animated transitions play a key role in viewers’ perception of ranking changes. We summarized various transition methods and evaluated their impact on user perception and memory through user experiments. We also conducted a detailed analysis of each transition method’s implementation. Our research sheds light on the effectiveness of different transition strategies for animated bar charts.

Keywords

Visualization for the massesAnimationTransitionQuantitative evaluation

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Visual Intelligence
Volume 1,
March 2023
Article number: 13
DOI: 10.1007/s44267-023-00015-w

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Cite this article:
Wei D, Liu C, Zhang X(, et al. Understanding transitions in animated bar charts. Visual Intelligence, 2023, 1: 13. https://doi.org/10.1007/s44267-023-00015-w

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Received: 04 March 2023
Revised: 13 April 2023
Accepted: 26 May 2023
Published: 14 May 2025
© The Author(s) 2023.

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