An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
IEEE Transactions on Visualization and Computer Graphics
An Insight-Based Longitudinal Study of Visual Analytics
IEEE Transactions on Visualization and Computer Graphics
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This paper describes a cognitive architecture toevaluate visualization applications (CAEVA).This architecture requires gathering domainknowledge to adapt existing evaluation models tonew domains and applications. This architecturehas two main components: one for interoperabilityand one for cognitive models. The interoperabilitycomponent uses client-server protocols. Thecognitive component includes three sub-components:knowledge about visualization,knowledge about the data domain, and knowledgeabout data analysis strategies.CAEVA was used to evaluate the visualizationsgenerated to compare environmental products.The cognitive model is written in ACT-R andsimulates how human beings use visualizations toperform data analysis tasks.The data produced by the simulation model isvalidated with empirical data obtained fromhuman subjects performing the same task. Thesimulation model produces traces that allowresearchers to analyze the strategies followed bythe users in the task. The data produced by themodel allowed us to study the learning process ofvisualization users.