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Transcript
Top 10 Unsolved
Information Visualization
Problems
Chaomei Chen
Drexel University
What is Infoviz?
• visual representations of the semantics,
or meaning, of information.
• information visualization typically deals
with nonnumeric, nonspatial, and highdimensional data.
1. Usability
• More empirical studies
• New study methodologies
– Mostly limited to the particular systems at hand
2. Understanding elementary
perceptual–cognitive tasks
• End users can’t see how their raw data is
turned into colorful pictures
• Need to evaluate newer systems for higher
level cognitive advantages
2. Understanding elementary
perceptual–cognitive tasks
• Measure
– Spatial ability
– Eye movement
3. Prior Knowledge
4. Education and training
• Sharing principals of infoviz among
researchers
• Raise awareness of the importance of
Infoviz.
– Good applications?
5. Intrinsic Quality Measures
• Need more effective measures and
benchmarks
6. Scalability
• Infoviz hasn’t used massively parallel
computing techniques.
• Data streams (real time data?)
– Urgency
– ‘arrival pattern’
7. Aesthetics
• What makes the viz pretty?
• Linked to usability
8. Paradigm shift from
structures to dynamics
• Visualizing changes over time
• Automatic trend detection in data
9. Causality, Visual Inference,
and Predictions
• Conflicting evidence finding
– Patents
– Pharmaceuticals
10. Knowledge Domain
Visualization