Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs
July 12, 2019 Β· Declared Dead Β· π IEEE Transactions on Visualization and Computer Graphics
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Authors
Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu
arXiv ID
1907.05609
Category
cs.HC: Human-Computer Interaction
Citations
35
Venue
IEEE Transactions on Visualization and Computer Graphics
Last Checked
3 months ago
Abstract
Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to non-experts. Narvis targets two types of end-users: teachers, experts in data visualization who produce tutorials for explaining a data visualization, and students, non-experts who try to understand visualization designs through tutorials. We present an analysis of requirements through close discussions with the two types of end-users. The resulting considerations guide the design and implementation of Narvis. Additionally, to help teachers better organize their introduction slideshows, we specify a data visualization as a hierarchical combination of components, which are automatically detected and extracted by Narvis. The teachers craft an introduction slideshow through first organizing these components, and then explaining them sequentially. A series of templates are provided for adding annotations and animations to improve efficiency during the authoring process. We evaluate Narvis through a qualitative analysis of the authoring experience, and a preliminary evaluation of the generated slideshows.
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