JUXTAPOSING VISUAL LAYOUTS – AN APPROACH FOR SOLVING ANALYTICAL AND EXPLORATORY TASKS THROUGH ARRANGING VISUAL INTERFACES

Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple
search tasks for outliers, anomalies etc. in data to analytical comparisons, information visualizations may
lead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process
of task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all
these methods make use of a single data source that is visualized at the same time. We propose in this paper an
approach that goes beyond the established methods and enables visualizing different databases, data-sets and
sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our
main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as
visual interfaces to enable solving complex tasks.