Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '95 Conference Companion on Human Factors in Computing Systems
Interface and data architecture for query preview in networked information systems
ACM Transactions on Information Systems (TOIS)
Dynamic Queries for Visual Information Seeking
IEEE Software
Visualization for functional design
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
An Evaluation of Microarray Visualization Tools for Biological Insight
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
A rank-by-feature framework for interactive exploration of multidimensional data
Information Visualization
Information visualization design for multidimensional data: integrating the rank-by-feature framework with hierarchical clustering
Toward Measuring Visualization Insight
IEEE Computer Graphics and Applications
An Insight-Based Longitudinal Study of Visual Analytics
IEEE Transactions on Visualization and Computer Graphics
Promoting Insight-Based Evaluation of Visualizations: From Contest to Benchmark Repository
IEEE Transactions on Visualization and Computer Graphics
by chance enhancing interaction with large data sets through statistical sampling
Proceedings of the Working Conference on Advanced Visual Interfaces
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This paper shows how model simplification, by replacing iterative steps with unitary predictive equations, can enable dynamic interaction with a complex simulation process. Model previews extend the techniques of dynamic querying and query previews into the context of ad hoc simulation model exploration. A case study is presented within the domain of counter-current chromatography. The relatively novel method of insight evaluation was applied, given the exploratory nature of the task. The evaluation data show that the trade-off in accuracy is far outweighed by benefits of dynamic interaction. The number of insights gained using the enhanced interactive version of the computer model was more than six times higher than the number of insights gained using the basic version of the model. There was also a trend for dynamic interaction to facilitate insights of greater domain importance.