Science of analytical reasoning
Information Visualization
Information Visualization
The personal equation of complex individual cognition during visual interface interaction
HCIV'09 Proceedings of the Second IFIP WG 13.7 conference on Human-computer interaction and visualization
Learning-based evaluation of visual analytic systems
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
Is your user hunting or gathering insights?: identifying insight drivers across domains
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
A comparison of benchmark task and insight evaluation methods for information visualization
Information Visualization - Special issue on Evaluation for Information Visualization
Many roads lead to Rome: mapping users' problem-solving strategies
Information Visualization - Special issue on Evaluation for Information Visualization
Information Visualization - Special issue on Best Papers of Visual Analytics Science and Technology (VAST) 2010
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Many have proposed that the goal of visualization is insight. However, few rigorous definitions of insight exist in the visualization community, and none have been commonly accepted. We propose that two types of insight are relevant to the visualization community. We examine the definition of insight cognitive scientists use (spontaneous insight) and compare it with the definitions the visualization community uses (knowledge-building insight). The two, although distinct, are related and contribute toward each other. Only by understanding how the two types differ and interact with each other can the visualization community accurately measure insight and determine the effectiveness of visualizations.