Top 10 Unsolved Information Visualization Problems Chaomei Chen Drexel University.

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Presentation 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 high- dimensional 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