Mar 12

Data Visualization Optimization via Computational Modeling of Perception

Daniel Pineo No Comments »
Optimized Flow Visualization In this work I show how the effectiveness predictions produced by my model can be used with a hillclimbing algorithm to optimize flow visualizations. I found that the optimization converged to flow visualizations with head-to-tail arrows, as used in the popular Jobard & Lefer algorithm. This suggests that the success of the Jobard & Lefer algorithm may be due to it optimally activating the contour perception mechanisms of human vision.

Pineo, D., and Ware, C., “Data Visualization Optimization via Computational Modeling of Perception,” ACM Transactions on Visualization and Computer Graphics. (In Press)

Dec 19

Neural Modeling of Flow Rendering Effectiveness

Daniel Pineo No Comments »
Edge Perception Closeup In this work I use a computational model of human vision to estimate human psychophysical performance using flow visualizations. I found good agreement between human performance and the the performance predicted by the model.

Pineo, D., and Ware, C., “Neural modeling of flow rendering eff ectiveness,” ACM Transactions on Applied Perception. Volume 7, Issue 3. June 2010.