Information visualization is a mediator between humans and machines – it makes data readable for humans and provides an interface to use the machine. In this role, in addition to own contributions, the discipline also integrates various computer science techniques and makes them available. The research group carries out basic research developing new visualization techniques and investigates interactive visual analysis systems for various applications. Usability and comprehensibility of the visualizations are always considered, as well as transparency of data processing.
Ongoing Research Projects
Comparative and Collaborative Visual Analysis of Clustering and Co-clustering Ensembles
Funded by: Deutsche Forschungsgemeinschaft (DFG) in collaboration with Fonds National de la Recherche (FNR, Luxemburg)
Funding period: 2023–2026
Research Areas and Selected Contributions
Expressive Visual Encodings
We explore expressive visualization of complex and dynamic processes and behaviors. In doing so, we develop basic information visualization techniques that integrate different data representations. Examples include dynamic graphs and set structures, timeline-based event visualization, and visual comparison techniques.
Abstracting and comparing event sequences as trees
Video | Paper
Explanatory Visual Reporting
We create explanatory combinations of text or language and visualization, and thereby generate interactive reporting solutions. In addition to interactive documents, narrative visualizations in virtual reality can be created. Use cases range from professional scenarios in software development to the communication of geographic data to a broad audience.
Smart City Lecture Series, Fabian Beck, University of Bamberg, Feb. 8, 2024
Audio guides for visualizations in virtual reality
⭐ 2022 CG&A Best Paper
Paper | Video
Inaugural lecture, Fabian Beck, University of Bamberg, June 16, 2022
Assisted linking of text and visualization in interactive documents
Automatically generated profiles of academic authors
Demo | Paper
Enabling Visual Analytics
We develop visual analysis methods that enable reasoning through comparative representation and interactive editing and abstraction. The methods use advanced algorithmic solutions and consider mentioned aspects of meaningful and explanatory visual representations of information. The developed solutions help experts and professional users to explore and understand complex data.
Visually supported citation-based literature search
⭐ EuroVis 2022 Honorable Mention Poster Award
Tool | Blog | Poster Paper
Analyzing the behavior of AI agents in a Bomberman (game) competition
Demo | Paper | Talk
Visually investigating regressions in the evolving performance of software systems
⭐ VISSOFT 2019 Best Paper