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2017 IEEE Pacific Visualization Symposium (PacificVis) (2017)
Seoul, South Korea
April 18, 2017 to April 21, 2017
ISSN: 2165-8773
ISBN: 978-1-5090-5739-9
pp: 61-70
Min Lu , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
Jie Liang , School of Engineer and Information Technology, The University of Technology, Sydney, Australia
Yu Zhang , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
Guozheng Li , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
Siming Chen , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
Zongru Li , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
Xiaoru Yuan , Key Laboratory of Machine Perception (Ministry of Education), Peking University, China
ABSTRACT
In this work, we present Interaction+, a tool that enhances the interactive capability of existing web-based visualizations. Different from the toolkits for authoring interactions during the visualization construction, Interaction+ takes existing visualizations as input, analyzes the visual objects, and provides users with a suite of interactions to facilitate the visual exploration, including selection, aggregation, arrangement, comparison, filtering, and annotation. Without accessing the underlying data or process how the visualization is constructed, Interaction+ is application-independent and can be employed in various visualizations on the web. We demonstrate its usage in two scenarios and evaluate its effectiveness with a qualitative user study.
INDEX TERMS
Data visualization, Visualization, Data mining, Electronic mail, Bars, Libraries, Proposals
CITATION

Min Lu et al., "Interaction+: Interaction enhancement for web-based visualizations," 2017 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Seoul, South Korea, 2017, pp. 61-70.
doi:10.1109/PACIFICVIS.2017.8031580
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