The Community for Technology Leaders
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, Jie Liang, Yu Zhang, Guozheng Li, Siming Chen, Zongru Li, Xiaoru Yuan, "Interaction+: Interaction enhancement for web-based visualizations", 2017 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 61-70, 2017, doi:10.1109/PACIFICVIS.2017.8031580
82 ms
(Ver 3.3 (11022016))