Information visualization is a mediator between humans and machines – it makes machine data readable for humans and provides an interface to use the machine. In this role, the discipline integrates various computer science techniques, in addition to its own contributions, and makes them available. The research group carries out basic research developing new visualization techniques and investigates interactive visual analysis systems for various disciplines. Good usability and comprehensibility of the visualizations as well as transparency of data processing are always taken into account. The research of the group splits into the following areas:
- Expressive Visual Encodings: Meaningful visualization of complex and dynamic processes and behavior patterns.
- Explanatory Visual Reporting: Explanatory combinations of text or speech and visualization, where both media merge through seamless integration.
- Enabling Visual Analytics: Analysis methods that enable conclusions to be drawn through comparative presentation as well as interactive editing and abstraction.