This is an extended version of the work presented as a poster at Diagrams 2012 with new user study and analysis. Kai Xu, Chris Rooney, Peter Passmore, and Dong-Han Ham, “A User Study on Curved Edges in Graph Visualisation”, IEEE Information Visualization Conference, 14-29 October 2012, Seattle, US. PDF
Kai Xu, Chris Rooney, Peter Passmore, and Dong-Han Ham, “A User Study on Curved Edges in Graph Visualisation”, Seventh International Conference on the Theory and Application of Diagrams, 2-6 July 2012, Canterbury, UK. PDF
Recently there has been increasing research interest in visualizing graphs with curved edges to produce more readable visualizations. While there are many automatic techniques, little has been done to evaluate them empirically. In this paper we present our study on the impact of edge curvature on graph readability by comparing the path finding performance on graph visualizations with varied curvature levels. We also asked the participants to provide subject ratings of the effectiveness and aesthetics of different types of curved edge.
B.L. William Wong, Kai Xu, and Andreas Holzinger, “Interactive Visualization for Information Analysis in Medical Diagnosis”, Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD) @ 7th Conference of the Austrian Computer Society Workgroup: Human-Computer Interaction (USAB), Graz Austria, November 2011. PDF
Qing Liu, Ji Zhang, James Forbes, Kai Xu, Dinesh Nair, “A Knowledge Discovery Service System for Provenance Exploration”, International Conference on Data and Knowledge Engineering (ICDKE) 2011, Milan, Italy, September 2011. PDF
Simone S. Li, Kai Xu, Marc R. Wilkins, “Visualisation and analysis of the complexome network of Saccharomyces cerevisiae”, Journal of Proteome Research (Impact Factor 5.46), to appear. PDF
The challenge is part of the IEEE VisWeek 2011.
Kai Xu, Chris Rooney, Tinni Choudhury, Raymond Chen, William Wong, Claire Brierley, Eric Atwell, “Characterization of an Epidemic Spread”, IEEE VAST Challenge 2011 Mini Challenge 1.
Sharmin (Tinni) Choudhury, Claire Brierley, Chris Rooney, Kai Xu, Raymond Chen, William Wong, Eric
Atwell, “Investigation into Terrorist Activity”, IEEE VAST Challenge 2011 Mini Challenge 2.
B. L. William Wong, Sharmin (Tinni) Choudhury, Chris Rooney, Raymond Chen and Kai Xu, “INVISQUE: Technology and Methodologies for Interactive Information Visualization and Analytics in Large Library Collections”, in the Proceedings of International Conference on Theory and Practice of Digital Libraries 2011, to appear, September 2011, Berlin, Germany. PDF
B. L. William Wong, Raymond Chen, Neesha Kodagoda, Chris Rooney, Kai Xu, “INVISQUE: intuitive information exploration through interactive visualization”, in Proceedings of the International Conference on Human Factors in Computing Systems (CHI) 2011, 311-316. PDF
INVISQUE now has its own website: http://www.invisque.com/
In this paper we discuss the various aspects in intelligence analysis relating to provenance and the new requirements resulting from the changed nature of terrorist activities (extremely versatile). We propose a three-layer provenance model and a provenance reasoning workspace framework for the design of visual analytics tools for intelligence provenance. PDF
Kai Xu, Qi Yu, Qing Liu, Ji Zhang, Athman Bouguettaya, “Web Service management system for bioinformatics research: a case study”, Service Oriented Computing and Applications, Volume 5, Issue 1 (2011), Page 1-15. PDF