Advance Program - Tutorial

29. Visual Perception for Data Visualization

Monday, 08:30 - 17:00

Instructors
Colin Ware, University of New Brunswick, Canada
Ed Chi, Rich Gossweiler, Xerox PARC, USA

Benefits
You will learn to make data visualizations more effective, through an understanding of human perception. Appreciate what makes icons or data glyphs more visible, and how information should be organized for patterns to be perceived.

Origins
Based on a tutorial given by Colin Ware to Bay CHI and parts of SIGGRAPH tutorials given by Rich Gossweiler.

Features

• Pre-attentive processing theory and how it can be applied to grab attention
• Effective use of color in classifying data
• Making patterns in data easier to perceive
• Object perception and the object display
• Use and misuse of 3D viewing
• Visualization for problem solving

Audience
Anyone who is interested in understanding human perception and applications in data visualization. It should be of special interest to people designing data visualization applications or engaged in visualization research.

Presentation
Lectures, demonstrations, and hands-on exercises.

Instructor
Colin Ware is Professor and Director of the Data Visualization Research Lab at the University of New Hampshire. His book Information Visualization: Perception for Design was recently published. Ed Chi has a Ph.D. in Computer Science from the University of Minnesota, and is currently doing visualization research at Xerox PARC. He has won awards for both teaching and research. Rich Gossweiler received his Ph.D. from the University of Virginia where he developed DIVER, a distributed virtual reality system. He is currently working as a Research Scientist at PARC on interactive 3D graphics user interfaces and visualization.