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Interaction Techniques for Visual Exploration Using Embedded Word-Scale Visualizations

Abstract : We describe a design space of view manipulation interactions for small data-driven contextual visualizations (word-scale visualizations). These interaction techniques support an active reading experience and engage readers through exploration of embedded visualizations whose placement and content connect them to specific terms in a document. A reader could, for example, use our proposed interaction techniques to explore word-scale visualizations of stock market trends for companies listed in a market overview article. When readers wish to engage more deeply with the data, they can collect, arrange, compare, and navigate the document using the embedded word-scale visualizations, permitting more visualization-centric analyses. We support our design space with a concrete implementation, illustrate it with examples from three application domains, and report results from two experiments. The experiments show how view manipulation interactions helped readers examine embedded visualizations more quickly and with less scrolling and yielded qualitative feedback on usabil-ity and future opportunities.
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https://hal.inria.fr/hal-02459518
Contributor : Petra Isenberg <>
Submitted on : Wednesday, January 29, 2020 - 3:51:10 PM
Last modification on : Friday, October 9, 2020 - 10:03:40 AM
Long-term archiving on: : Thursday, April 30, 2020 - 4:37:49 PM

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Pascal Goffin, Petra Isenberg, Tanja Blascheck, Wesley Willett. Interaction Techniques for Visual Exploration Using Embedded Word-Scale Visualizations. CHI 2020 - ACM Conference on Human Factors in Computing Systems, Apr 2020, Honolulu, United States. ⟨10.1145/3313831.3376842⟩. ⟨hal-02459518⟩

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