Visual analytics tools are complex visual interfaces that can be inspected from many perspectives like the visualizations, user interface components, interaction techniques, displays, algorithmic techniques, but even more the users - expert or non-expert ones - with their experience levels and tasks-at-hand. No matter how complex such a visual analytics tool is and on what application field its focus lies, user evaluation is a powerful concept to investigate whether the tool is understandable and useful or creates challenges on the users' sides due to many design flaws. Eye tracking is getting more and more prominent in visual analytics to understand user behavior based on visual attention and visual scanning strategies. However, the recorded eye movement data creates a new complex data source for which visual analytics is required again to find patterns, anomalies, insights, and knowledge in the eye movement data.
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