ABSTRACT
Evaluation of an interactive visualization or a more advanced visual analytics system can be done in several ways. This kind of evaluation focuses more on the algorithmic scalability of the visualization technique or visual analytics system. Eye tracking plays a crucial role in such a user evaluation because with this technology we are able to record the visual attention of study participants over space and time. Both kinds of evaluations, performance and user evaluation, provide a wealth of insights for enhancing a visual analytics system, algorithmically or perceptually. Quantitative evaluations are typically conducted in a laboratory environment and allow a quite high precision for the setup, control, as well as the results, which are important criteria for generalization aspects.
