Techniques for Analyzing Empirical Visualization Experiments Through Visual Methods

Analyzing data collected in empirical visualization experiments is a time consuming task. In order to support visualization designers analyzing the data collected during such experiments, we intend to develop an analysis model. This analysis model will automatically choose appropriate visual analysis methods according to an analysis task to evaluate a new visualization technique. We will contribute an idea how this analysis model can look like, and what steps need to be taken to define the model. Furthermore, we investigate which visual analysis methods are available or have to be developed first, and how analysis tasks can be defined.