Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizin...
Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, Joh...
Experiments with simulators allow psychologists to better understand the causes of human errors and build models of cognitive processes to be used in Human Reliability Assessment ...
Understanding and analyzing complex volumetrically varying data is a difficult problem. Many computational visualization techniques have had only limited success in succinctly po...
Nikolai A. Svakhine, Yun Jang, David S. Ebert, Kel...
This paper describes mechanisms for asynchronous collaboration in the context of information visualization, recasting visualizations as not just analytic tools, but social spaces....
Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...