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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