Tutorial: 26. Information Visualization: Making Information Technology Work

Monday 09:00 - 17:30.

Stuart Card, Xerox PARC, USA
Stephen G. Eick, Bell Labs, USA
Nahum Gershon, MITRE, USA

Benefits
Participants will gain a working knowledge of techniques, research, and products in the emerging field of information visualization, applied to large document collections, the web, and databases.

Origins
This successful CHI 98 tutorial has been revised for CHI 99.

Features

• visualization as cognitive amplification
• perceptual, cognitive, and semiotic principles
• visualization reference model
• visualization techniques in 1D, 2D, 3D, and 4D
• dynamic diagrams, information landscapes, hierarchies, and networks
• interactive visualization and dynamic queries
• overviews, focus, and context

Audience
Professionals with an interest in this emerging field.

Presentation
Lecture and demonstrations along with case studies of web browsing and querying.

Instructors
Stuart Card, a Xerox Research Fellow, manages the User Interface Research group at Xerox Palo Alto Research Center. He is co-author of the SIGCHI Curriculum Report, and has instructed four tutorials at CHI and SIGGRAPH. He is the author/editor of Readings in Information Visualization. Stephen Eick, the Technical manager of the Data Visualization Research Group at Bell Labs, researches extracting and visualizing latent structure from large databases (abstract networks, software source code, and text). He presented tutorials on perception at SIGGRAPH 94, 95, and 96, and a software visualization tutorial at Visualization 93. Nahum Gershon, a Principal Scientist at The Mitre Corporation, researches information and data visualization, network browsers, image processing, and data organization. He explores how knowledge of human perception can be exploited when designing visualization systems.

Related Tutorials

• 12. Computer-Human Interaction and Health Care: Opportunities, Roadblocks, Tips, and Tricks (Sunday)
• 14. Designing Interfaces for Hand-held Computers (Sunday morning)
• 30. Distance Learning (Monday morning)