Introduction: What is InfoVis?

• Introductory Examples
• Motivation and Goals
• Tasks
• Comparison with Scientific Visualization
• Syllabus and Class Mechanics

Data and Representation: Introduction

• Types of data
• Mapping data to visual representation

Reading: Spence, Chapter 1-2.

Lecture Notes

Tasks and Cognitive Issues

• Searching, Querying, Browsing
• 0verview, zoom-filter, details-on-demand
• Relate, History, Extract

Readings:

• Reading: Spence, Chapter 3
• Shneiderman: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualization.

Lecture Notes

Presenter: Hochheiser

Assignment 1: Due

Multiscale Visualization: Introduction & Overview + Detail & Presentation

• Motivation
• Overview + Detail

Readings:

• Spence, Chapter 4
• Plaisant, C., Carr., D. and Shneiderman, B. Image-browser taxonomy and guidelines for designers IEEE Software 12(2), March 1995. 21-32.Docutek

Lecture Notes

Presenter: Lianjiang Zong

Focus + Context & Distortion

• Focus+Context
• Distortion
• Fisheyes.

Readings:

• Sarkar, M. and Brown, M. (1994) Graphical fisheye views Communications of the ACM, 37(12) December 1994, 73-83. Docutek

Project Team Rosters Due

Fisheye Views

• Focus+Context
• Distortion
• Fisheyes.

Readings:

• Furnas, G. (1986) Generalized Fisheye Views SIGCHI conference on Human factors in computing systems, 16-23.

Fisheye Views + Small Displays

• Fish-Eye, continued
• DateLens

• Bederson, B., Clamage, A., Czerwinski, M., and Robertson, G. (2004) DateLens: A fisheye calendar interface for PDAs ACM Transactions on Computer-Human Interaction, 11(1) March 2004, 90-119.

Interaction Techniques

• Cognitive Models
• Browsing, Querying, Navigating
• Dynamic Queries
• Brushing

Readings

• Spence, Chapter 5
• Shneiderman, B. (1994), Dynamic Queries for Visual Information Seeking IEEE Software, 11(6), 70-77.

Navigation

• Navigating in large, multi-scale spaces.

Readings

• Bederson, B (2001) PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps Proceedings of the 14th annual ACM symposium on User interface software and technology, 71-80.Docutek
• Supplemental: Furnas, G. and Bederson, B. (1995) Space-scale diagrams: understanding multiscale interfaces SIGCHI conference on Human factors in computing systems, 234-241.Docutek

Assignment 2: Due

Multivariate Data

• Parallel Coordinates
• Starfield

Readings

• Inselberg, A. (1997) Multidimensional Detective Proceedings 1997 IEEE Symposium on Information Visualization - InfoVis '97 Docutek

More Multivariate Data

• Dust and Magnet

Readings

• Yi, Ji- S., Melton, R., Stasko, J., Jacko, J. (2005) Dust & Magnet: multivariate information visualization using a magnet metaphor Information Visualization 4(2), 239-256.Docutek

Lecture Notes

Project Proposal Due

Hierarchical Tree-Structured Data

• Hyperbolic Browser
• Circle-Packing

Readings

• Lamping, J., Rao, R., and Pirolli, P. (1995) A focus+context technique based on hyperbolic geometry for visualizing large hierarchies ACM SIGCHI Conference on Human Factors in Computing Systems, 401-408.
• Wang, W., Wang, H., Dai,G., and Wang H. (2006) Visualization of large hierarchical data by circle packing ACM SIGCHI Conference on Human Factors in Computing Systems, 517-520.

Presenter: Snighdha Joginpally

Lecture Notes

More Hierarchial Tree-Structured Data

• Treemaps, space filling visualizations

• Zho, S., McGuffin, M.J., Chignell, M.H. (2006) Elastic Hierarchies: Combining Treemaps and Node-Link Diagrams 2005 IEEE Symposium on Information Visualization

Lecture Notes Presenter: Hochheiser

No Class: Midterm Exam

A take-home midterm exam was posted on March 13. The exam is due, via email, by 5PM on March 16.

Spring Break

Tree-Structured Data : Evaluation

• SpaceTree vs. Hyperbolic Tree

• Plaisant, C., Grosjean, J., and Bederson, B. (2002) SpaceTree: Supporting Exploration in Large Node Link Tree, Design Evolution and Empirical Evaluation IEEE Symposium on Information Visualization (InfoVis '02), p.57

Presenter: Chih-Hung Cho

Evaluation: Examples

Readings

• Kobsa, A. (2001) An Empirical Comparison of Three Commercial Information Visualization Systems IEEE Symposium on Information Visualization, 2001, p. 123

Lecture Notes

Evaluation: Challenges

• Tory, M.and Möller, T. (2005).Evaluating Visualizations: Do Expert Reviews Work IEEE Computer Graphics and Applications, 25 (5), Sept./Oct. 2005, pp.8-11.
• Plaisant, C. (2004) The challenge of information visualization evaluation Proceedings of the ACM working Conference on Advanced Visual Interfaces, 109-116.
• Spence, Chapter 6

Lecture Notes

Toolkits

• Piccolo
• Prefuse

• Bederson, B., Grosjean, J., Meyer, J. (2004) Toolkit Design for Interactive Structured Graphics IEEE Transactions on Software Engineering 30(8), August 2004, 535-546.
• Heer, J., Card, s., and Landay, J. (2005) prefuse: a toolkit for interactive information visualizationACM SIGCHI Conference on Human Factors in Computing Systems, 421-430

Lecture Notes

Network/Graph Data

• PivotGraph

• Wattenberg, M. (2006) Visual exploration of multivariate graphs SIGCHI Conference on Human Factors in Computing Systems, 811-819.

Lecture Notes

Assignment 3: Due

More Network/Graph Data

Readings

• Shneiderman, B., and Aris, A. (2006) Network Visaulization by Semantic Substrates IEEE Transactions on Visualization and Computer Graphics, 12(5), 733-740.

Lecture Notes

Temporal Data

• VizTree

• Lin, J., Keogh, E., and Lonardi, S. (2005) Visualizing and discovering non-trivial patterns in large time series databases Information Visualization 4(2), 61-82.

Lecture Notes

Project Progress Reports Due

Documents 1

• ThemeRiver

• Havre, S., Hetzler, E., Whitney, P., and Nowell, L. (2002) ThemeRiver: Visualizing Thematic Changes in Large Document Collections IEEE Transactions on Visualization and Computer Graphics, 8(1), 9-20.

Presenter: K.D. Nguyen

Lecture Notes

Documents 2

• PaperLens

• Lee, B., Czerwinski, M., Robertson, G. Bederson, B. (2005) Understanding research trends in conferences using paperLens SIGCHI Conference on Human Factors in Computing Systems, 1969-1972.

Lecture Notes

Assignment 4: Due

2D vs. 3D

• Cockburn, A., and McKenzie, B. (2002) Evaluating the effectiveness of spatial memory in 2D and 3D physical and virtual environments ACM SIGCHI Conference on Human Factors in Computing Systems, 203-210.
• Shneiderman, B. (2003) Why not make interfaces better than 3D reality? IEEE Computer Graphics and Applications, 23(6), Nov-Dec, 12-15.

Presenter: Viji Murugesan Cockburn/Mckenzie, Shneiderman

Images

• Faceted Search

• Yee, K-P., Swearingen, K., Li, Kevin, Hearst, M. (2003) Faceted metadata for image search and browsing SIGCHI Conference on Human Factors in Computing Systems, 401-408.

Lecture Notes

Information Visualization and Universal Usability

• Plaisant, C. (2005). Information Visualization and the Challenge of Universal Usability. In Exploring Geovisualization (Eds, J. Dykes, A. MacEachren and M.J. Kraak), Oxford: Elsevier,p. 53-82.

Lecture Notes

Large Displays

Readings

• Yost, B., and North, C. (2006) The Perceptual Scalability of Visualization IEEE Transactions on Visualization and Computer Graphics, September, October 2006 12(5).

Presenter: Hochheiser

Lecture Notes

Theory and Taxonomies

Readings:

• Amar & Stasko, A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations IEEE Symposium on Information Visualization InfoVis 2004, 143-150. Docutek
• Tory, M., and Möller, T. (2004) Rethinking Visualization: A High-Level Taxonomy IEEE Symposium on Information Visualization 2004, Oct. 2004, 151-158.

Presenter: Santosh Chilapp

Lecture Notes

Project Presentations

Project Presentations and Review

Final Paper Due