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Disclaimer: These are guidelines intended to help students plan their work in this course. However, the instructor does reserve the right to make changes.
General Educational Aims: This
course will give students the opportunity to familiarize themselves with principles
and systems for information visualization. Specific emphasis will be given to
- the critical discussion of the merits and demerits of various visualizations
for multivariate data and for information hierarchies,
- the ease of users'
interaction with these visualizations, and
- the recognition of commonalities
between systems and of success factors.
Specific Objective:
At the conclusion of this course, students will
-
be familiar with major research systems for the visualization of multivariate
data and information hierarchies
- realize the importance
of appropriate visualizations and the dangers of inappropriate visualizations
- realize the importance of interaction aspects when evaluating
visualizations
- be familiar with several commercial
applications
- be able to analze video recordings of user interactions
N.B.: This class does not deal with the visualization
of time, graphs (except strict hierachies), scientific visualization, and
rendering. It will
concentrate on the visualization of relational data and of hierarchies.
Requirements: Some background in HCI is advantageous
Character of the course: seminar with readings, presentations, software demonstrations, lots of discussion, and a term project (video analysis).
Time and location: WF 8:30-9:50, ELH 110
Readings:
Required: Conference and journal articles below. Several of them are contained
in
[CMS]: Stuart
K. Card, Jock D. Mackinlay and Ben Shneiderman, eds. (1999): Readings in Information
Visualization:
Using
Vision to Think. San
Francisco, CA: Moran Kaufmann Publishers. ISBN 1558605339.
Optional:
Robert Spence (2001):
Information Visualization. Addison-Wesley and ACM Press.
Chaomei
Chen (1999): Information Visualisation and Virtual Environments. London, New York
: Springer. ISBN 1852331364
Colin
Ware: Information Visualization: Perception for Design. Academic Press, ISBN
1-55860-511-8
Grading: 50% for 2 presentations
30%
for term project
20%
for in-class participation
Efficient reading: see here
Cheating: see http://www.ics.uci.edu/~ucounsel/continuing_students/cheat.html
ICS Deadlines: Adding this course: 3 weeks ??
Dropping this course: 2 weeks ??
Course Notes: click on individual topics below
Office hours: W 10-11am.in my office (Rm. CS 430C). Contact me in class or send email beforehand.
280 Advanced Topics in Data Mining |
205 Human-Computer Interaction |
Course
structure:
Date | Topic | Discussion Chair |
1/9 | Overview of Information Visualization I (CMS, 1-27) | Alfred Kobsa |
1/14 | Overview of Information Visualization II (CMS, 1-27) | Alfred Kobsa |
1/16 |
D. Keim, H.-P. Kriegel: VisDB: Database Exploration Using Multidimensional Visualization.
IEEE Computer Graphics and Applications, 14(5):40-49, 1994. CMS
126-139, Citeseer D. Keim, Ming C. Hao, Umesh Dayal, Meichun Hsu: Pixel bar charts: a visualization technique for very large multi-attributes data sets |
Stacy Tang |
1/21 | • M. Ankerst: Visual
Data Mining with Pixel-oriented Visualization Techniques.
ACM SIGKDD Workshop on Visual Data Mining, San Francisco, CA, 2001 |
Norman Su |
R. Rao, S. Card: The Table
Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context
Visualization for Tabular Information. ACM Conference on Human
Factors in Computing Systems (CHI'94), pages 318-322, Boston, Massachusetts,
April 1994. CMS 343-349, CiteSeer |
Mathew Yeh | |
M. Spenke, C. Beilken and T.
Berlage (1996). The
Interactive Table for Product Comparison and Selection.
UIST 96 9th Annual Symposium on User
Interface Software and Technology, Seattle, WA, 41-50. DOI |
Sukanya | |
C.
Ahlberg, B. Shneiderman: Visual Information Seeking: Tight Coupling of Dynamic
Query Filters with Starfield Displays, ACM Conference on Human
Factors in Computing Systems (CHI'94), pages 313-317, Boston, Massachusetts,
April 1994. CMS 244-250, CiteSeer, DOI |
Ivan Seredkin | |
B. Johnson, B. Shneiderman: Tree-Maps:
A Space-Filling Approach to the Visualization
of Hierarchical Information Structures. IEEEVisualization ' 91,
San Diego, CA, 284--291 (CMS 152-159) |
Krishna | |
J. van Wijk,
H. van de Wetering: Cushion Treemaps: Visualization
of Hierarchical Information. IEEE Symposium on Information Visualization
(INFOVIS’99), San Francisco, CA, 73-78. CiteSeer IEEE |
Shubha Tandon | |
E. Kleiberg, H.
van de Wetering, J. van Wijk: Botanical
Visualization of Huge Hierarchies. InfoVis 2001: IEEE Symposium on Information
Visualization, San Diego, CA, 87-94. IEEE |
Stacy Tang | |
• F. van Ham, H. van de Wetering, J. van Wijk: Beamtrees:
Compact Visualization of Large Hierarchies. InfoVis 2002, Boston,
MA, 93-100. IEEE |
Feyi Agagu | |
• Lamping, J. and R. Rao: The Hyperbolic Browser: A Focus +
Context Technique for Visualizing Large Hierarchies. |
Steven Sun | |
• Kobsa: User
Experiments with Tree Visualization Systems • Kobsa, A.: An Empirical Comparison of Three Commercial Information Visualization Systems. InfoVis 2001 |
Norman Su | |
• Grosjean, J., Plaisant, C., & Bederson, B. B. (2002) SpaceTree:
Design Evolution of a Node Link Tree Browser. InfoVis2002 |
Steven Sun | |
A. Inselberg: Multidimensional Detective (CMS 107-114) IEEE Parallax Software (evaluation version from instructor, limited to one month) |
Sukanya | |
C. Stolte, P. Hanrahan: Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases | Feyi Agagu | |
• B. Bederson,
J. Hollan: Pad++: A Zooming Graphical Interface forExploring Alternate
Interface Physics (CMS
530-543) DOI |
Ivan Seredkin | |
XX | • P. Klein, F. Müller, H. Reiterer, T. Limbach: Metadata
Visualization with VisMeB • VisMeB software (evaluation version from instructor, limited to one month) | Krishna |
• SpiralGlyphics: a visualization system for exploring cyclic
multivariate data: 1,
2 |
Shubha Tandon | |
XX | Applications and Implications (CMS 625-640) |
Matthew Yeh |