%0 Conference Paper %B VAST Challenge 2014 %D 2014 %T Event-Based Text Visual Analytics %A Wang, Ji %A Lauren Bradel %A North, Chris %K event extraction %K Semantic interaction %K sensemaking %K topic modelling %X We present an event-based approach for solving a directed sensemaking task in which we combine powerful information foraging tools with intuitive synthesis spaces to solve the VAST 2014 Mini-Challenge 1 (MC1). A combination of student-created and commericially available software are used to solve various aspects of the scenario. In addition to applying entitiy extraction and topic modelling, we enable the user to explore a large dataset using multi-model semantic interaction, which infers analytical reasoning from user actions to augment the data spatialization and determine what information should be presented and suggested to the user. Additionally, we visualize extracted topics using Tableau to construct a timeline of events surrounding the questions posed by the challen %B VAST Challenge 2014 %C Paris, France %0 Conference Paper %B VAST Challenge 2014 %D 2014 %T Making Sense of Daily Life Data: From Commonalities To Anomalies %A Wang, Ji %A Peng Mi %A North, Chris %K Geo-visualization %K human information interaction %K Intelligence Analysis %K sense-makingloop %K visualanalysis %X We report the approach and results to solve the VAST 2014 Mini-Challenge 2 (MC2). Based on the commercial interactive visualization software Tableau, we follow the notional model of sensemaking loop for analysis of the massive multi-dimensional, multi-source and time-varying data sets in MC2. Our findings show that we can effectively identify the commonalities and anomalies to understand the GAStech employees' daily life. %B VAST Challenge 2014 %0 Conference Paper %B Proceedings of the 2014 Graphics Interface Conference %D 2014 %T ReCloud: Semantics-based Word Cloud Visualization of User Reviews %A Wang, Ji %A Zhao, Jian %A Guo, Sheng %A North, Chris %A Ramakrishnan, Naren %B Proceedings of the 2014 Graphics Interface Conference %S GI '14 %I Canadian Information Processing Society %C Toronto, Ont., Canada, Canada %P 151–158 %@ 978-1-4822-6003-8 %U http://dl.acm.org/citation.cfm?id=2619648.2619674 %0 Conference Paper %B Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems %D 2014 %T Towards Crowd-based Customer Service: A Mixed-initiative Tool for Managing Q&A Sites %A Piccardi, Tiziano %A Convertino, Gregorio %A Zancanaro, Massimo %A Wang, Ji %A Archambeau, Cedric %K a %K crowdsourcing %K customer care %K mixed initiative %K q&\#38 %B Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems %S CHI '14 %I ACM %C New York, NY, USA %P 2725–2734 %@ 978-1-4503-2473-1 %U http://doi.acm.org/10.1145/2556288.2557202 %R 10.1145/2556288.2557202 %0 Conference Paper %B CHI '13 Extended Abstracts on Human Factors in Computing Systems %D 2013 %T Fisheye Word Cloud for Temporal Sentiment Exploration %A Wang, Ji %A Dent, Kyle %A North, Chris %K sentiment analysis %K temporal twitter data analysis %K user study %K word cloud %B CHI '13 Extended Abstracts on Human Factors in Computing Systems %S CHI EA '13 %I ACM %C New York, NY, USA %P 1767–1772 %@ 978-1-4503-1952-2 %U http://doi.acm.org/10.1145/2468356.2468673 %R 10.1145/2468356.2468673 %0 Journal Article %J Computers & Graphics %D 2013 %T An image-space energy-saving visualization scheme for \{OLED\} displays %A Haidong Chen %A Wang, Ji %A Weifeng Chen %A Huamin Qu %A Wei Chen %K Illustrative visualization %B Computers & Graphics %V 38 %P 61 - 68 %U http://www.sciencedirect.com/science/article/pii/S0097849313001611 %R http://dx.doi.org/10.1016/j.cag.2013.10.020 %0 Unpublished Work %D 2012 %T {GreenVis : Energy-Saving Color Schemes for Sequential Data Visualization on OLED Displays} %A Wang, Ji %A Lin, Xiao %A North, Chris %K color scheme %K energy saving %K oled display %K optimization %I Department of Computer Science, Virginia Tech %C Blacskburg, VA %P 8 %U http://eprints.cs.vt.edu/archive/00001192/