28/11/2024

Progressive visualizations are an innovative technique that allows initial results from complex data analyses to be displayed immediately, even while the complete calculation is still running. These preliminary visualizations are then gradually refined and made more accurate, but users can already use partial results, which then improve over time. Although the development of such systems is more complex, they offer the advantage that computing power can be used specifically for relevant data areas.
ATHENE researchers Prof. Jörn Kohlhammer and Alex Ulmer have now systematically investigated for the first time how these visualizations can be divided into different categories and what characteristics they have.

Important features for the design of progressive visualizations were analyzed in order to map the uncertainty and stability of the progression. The result is a taxonomy that provides a basis for researchers and designers to create progressive visualizations.

The work was summarized in the paper "A Survey on Progressive Visualization," which classifies the current state of research and highlights open research questions. The paper was recently published in the highly ranked IEEE TVCG journal and presented at the IEEE VIS: Visualization & Visual Analytics conference in October.

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