  The optimization of information visualizations is time consuming and
expensive. To reduce this we propose an improvement of existing optimization
approaches based on user-centered design, focusing on readability,
comprehensibility, and user satisfaction as optimization goals. The changes
comprise (1) a separate optimization of user interface and representation, (2)
a fully automated evaluation of the representation, and (3) qualitative user
studies for simultaneously creating and evaluating interface variants. On the
basis of these results we are able to find a local optimum of an information
visualization in an efficient way.
