TY - JOUR
T1 - Enhancing Static Charts With Data-Driven Animations
AU - Lu, Min
AU - Fish, Noa
AU - Wang, Shuaiqi
AU - Lanir, Joel
AU - Cohen-Or, Daniel
AU - Huang, Hui
N1 - Publisher Copyright:
© 1995-2012 IEEE.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Static visual attributes such as color and shape are used with great success in visual charts designed to be displayed in static, hard-copy form. However, nowadays digital displays become ubiquitous in the visualization of any form of data, lifting the confines of static presentations. In this article, we propose incorporating data-driven animations to bring static charts to life, with the purpose of encoding and emphasizing certain attributes of the data. We lay out a design space for data-driven animated effects and experiment with three versatile effects, marching ants, geometry deformation and gradual appearance. For each, we provide practical details regarding their mode of operation and extent of interaction with existing visual encodings. We examine the impact and effectiveness of our enhancements through an empirical user study to assess preference as well as gauge the influence of animated effects on human perception in terms of speed and accuracy of visual understanding.
AB - Static visual attributes such as color and shape are used with great success in visual charts designed to be displayed in static, hard-copy form. However, nowadays digital displays become ubiquitous in the visualization of any form of data, lifting the confines of static presentations. In this article, we propose incorporating data-driven animations to bring static charts to life, with the purpose of encoding and emphasizing certain attributes of the data. We lay out a design space for data-driven animated effects and experiment with three versatile effects, marching ants, geometry deformation and gradual appearance. For each, we provide practical details regarding their mode of operation and extent of interaction with existing visual encodings. We examine the impact and effectiveness of our enhancements through an empirical user study to assess preference as well as gauge the influence of animated effects on human perception in terms of speed and accuracy of visual understanding.
KW - Visual encoding
KW - animated effects
KW - charts
KW - data-driven
UR - http://www.scopus.com/inward/record.url?scp=85098756856&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2020.3037300
DO - 10.1109/TVCG.2020.3037300
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C2 - 33175679
AN - SCOPUS:85098756856
SN - 1077-2626
VL - 28
SP - 2628
EP - 2640
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 7
ER -