Publications

Finding Business Information by Visualizing Enterprise Document Activity

Wang X., Janssen, W., Bier, E.  --20% acceptance rate

SIGCHI Advanced Visual Interface 2010, Rome Italy. [PDF]

Designing Knowledge-Assisted Visual Analytics Systems for Organizational Environments

Wang X., Butkiewicz T., Dou, W., Bier, E.A., Ribarsky W.,

The International Symposium on Visual Information Communication and Interaction (VINCI) 2011, HongKong, China [PDF]

A Two-stage Framework for Designing Visual Analytics System in Organizational Environment

Wang, X., Dou, W., Butkiewicz, T., Bier, E.A., and Ribarsky, W.

IEEE VAST 2011, October, Providence IR, USA. [PDF]

Defining and Applying Knowledge Conversion Processes to a Visual Analytics System

Wang X., Jeong D.H, Dou, W., Lee, S-W., Ribarsky, W. and Chang, R.

Elsevier Computers and Graphics. Volume 33, Issue 5, October 2009, Pages 616-623

Organizational visual analytics systems represent an emerging technology, shown to be useful in facilitating domain analytical reasoning and insight discoveries through interactive visual interfaces. As the Visual Analytics (VA) field strides forward, research has been applied to various domains, leading to the development of diverse tailored systems. Many existing systems (See Analytics Applications) are useful in helping users tackle challenging domain analytical processes, such as document [AVI10] and infrastructure management[CGF10]. However, a perennially recurring research topic is the identification of a general design framework to facilitate the development of visual analytics systems.


To alleviate these problems, I present a two-stage framework for informing the design of a visual analytics system. This design framework builds upon and extends current practices pertaining to analytical workflow and focuses, in particular, on incorporating both general domain analysis processes as well as individual's analytical activities. As shown in diagram to the left, I illustrate both stages and their design components through examples, and hope this framework will be useful for designing future visual analytics systems.


Details of this design framework and its guidelines can be found in [VAST11], [VINCI11] and [Elsevier09]

Related Publications 

Combining Data-Analytics with Interactive Visualizations to Augment Organizational Analytics