#Visualization

Visualization covers the recognition of patterns, structures and connections between data and renders complex information more easily understandable through visual representation.

Projects

Digital Makers Hub

Platform for digital makers, for interaction, efficient sharing of knowledge & experiences and nationwide coordination of activities

ReMoCap-Lab

The „Laboratory for Capturing Motion and Augmenting Environment in Motor Rehabilitation“ will enable innovative projects and excellent research in Austria

InnoFIT - novel forecasting tools

Improvement of forecasting processes and planning quality with the use of information technologies to increase the competitiveness of Austrian companies in the global market.

MEETeuX

Multi-Device Ecologies Towards Elaborate User Experience discusses issues of relevance regarding interaction design and user experience design and aims at an integrated use of media technology devices...

VisOnFire. Understanding and visualizing workflows

Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance. - A new visual forensic tool realizes the visualisation of data analysis workflows and helps to increase the ...

VAST – Virtual Airspace and Tower

VAST aims at improving situation awareness of Air Traffic Control Officers and makes way for new technologies in European aviation.

McCube VR

Use of Virtual Reality (VR) technology in the planning process for modular wooden houses

SchreibCoachVis

Visualization for text analysis in language science and training

ContractVis - a visual assistant for the small print

The ContractVis application translates the wording of contracts into clear visual results and helps to protect user rights.

VALiD - Visual Analytics in Data-Driven Journalism

As data journalists face increasingly complex and heterogeneous data, the research project works on suitable Visual Analytics methods and their integration into journalistic workflows.

Publications

Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen. Invited talk presented at the GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Blumenstein, K., Oliveira, V. A. D. J., Größbacher, S., Boucher, M., Seidl, M., & Aigner, W. (2019). Design of Time-Oriented Visualization for Mobile Applications in Museums: A Comparative Evaluation. In Adjunct Proceedings CHItaly19 (p. 5). Padova, Italy.
Gäbler, J., Winkler, C., Lengyel, N., Wallner, G., Aigner, W., Stoiber, C., & Kriglstein, S. (2019). Diagram Safari: A Visualization Literacy Game for Young Children. In Proceedings of CHI PLAY 2019. Barcelona, Spain: ACM Press.
Stoiber, C., Grassinger, F., Pohl, M., Stitz, H., Streit, M., & Aigner, W. (2019). Visualization Onboarding: Learning How to Read and Use Visualizations. In IEEE Workshop on Visualization for Communication. Vancouver, BC, Canada: IEEE.
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., … Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38(3).
Rottermanner, G., Settgast, V., Judmaier, P., Eschbacher, K., & Rokitansky, C.-H. (2019). VAST: A High-Fidelity Prototype for Future Air Traffic Control Scenarios. In Proceedings of the 17th European Conference on Computer-Supported Cooperative Work - Demos and Posters (Vol. Reports of the European Society for Socially Embedded Technologies: vol. 3, no. 2). Salzburg, Austria: European Society for Socially Embedded Technologies (EUSSET).
Dahnert, M., Rind, A., Aigner, W., & Kehrer, J. (2019). Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. ArXiv:1906.07377 [Cs].
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. In Proc. Workshop on Visual Analytics in Healthcare (VAHC 2019).
Streit, M., Aigner, W., & Girardi, D. (2018, March). Injecting Life into Visualizations for Biomedical Research. Presented at the DBMI Open Insights Seminar, Harvard University.
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10.1109/TVCG.2017.2785271