SEVA

Team

FH-Prof. Priv.-Doz. Dipl.-Ing. Dr. Wolfgang Aigner MSc

  • Deputy Head of Faculty of Engineering and Business
Location: B - Campus-Platz 1
M: +43/676/847 228 611

Study programmes

  • Digital Media Production (MA)
  • Digital Design (MA)
  • Data Intelligence (MA)
  • Digital Media Technologies (MA)
  • Interactive Technologies (MA)
  • Digital Innovation and Research (MA)
  • Creative Computing (BA)
  • Data Science and Artificial Intelligence (BA)
  • Media Technology (BA)

Departments

  • Media and Digital Technologies
  • Computer Science and Security
Wolfgang is an expert in Information Visualization (InfoVis) and Visual Analytics (VA), particularly in the context of time-oriented data. He performs research on concepts, methods, and software prototypes that support humans in dealing with large and complex information structures, to make them more comprehensible, facilitate exploration, and enable knowledge discovery. Wolfgang has authored and co-authored more than 125 peer-reviewed articles and is an author of the book “Visualization of Time-Oriented Data” (Springer, 2011) that is devoted to a systematic view of this topic.
Full list of publications

Projects

Selected publications

Download Bibtex for all results
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., Emrich, S., & Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38. https://doi.org/10/ghm4jz
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/ghppzn
Niederer, C., Stitz, H., Hourieh, R., Grassinger, F., Aigner, W., & Streit, M. (2018). TACO: Visualizing Changes in Tables Over Time. IEEE Transactions on Visualization and Computer Graphics (InfoVis "17), 24(1), 677–686. https://doi.org/10/ghppzq
Federico, P., Wagner, M., Rind, A., Amor-Amorós, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. IEEE Conference on Visual Analytics Science and Technology (VAST), 92–103. https://doi.org/10/ghppzr
Tominski, C., Aigner, W., Miksch, S., & Schumann, H. (2017). Images of Time: Visual Representation of Time-Oriented Data. In A. Black, P. Luna, O. Lund, & S. Walker (Eds.), Information Design: Research and Practice (pp. 23–42). Gower/Routledge. http://mc.fhstp.ac.at/sites/default/files/publications/Tominski17ImagesOfTime.pdf
Wagner, M., Rind, A., Thür, N., & Aigner, W. (2017). A knowledge-assisted visual malware analysis system: design, validation, and reflection of KAMAS. Computers & Security, 67, 1–15. https://doi.org/10/b5j9
Blumenstein, K., Niederer, C., Wagner, M., Schmiedl, G., Rind, A., & Aigner, W. (2016). Evaluating Information Visualization on Mobile Devices: Gaps and Challenges in the Empirical Evaluation Design Space. Proceedings of 2016 Workshop on Beyond Time And Errors: Novel Evaluation Methods For Visualization, 125–132. https://doi.org/10/cwc6
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2016). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300. https://doi.org/10/f3szvq
Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D. A., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) - STARs (pp. 105–125). The Eurographics Association. https://doi.org/10/cwc4
Stitz, H., Gratzl, S., Aigner, W., & Streit, M. (2015). ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. IEEE Transactions on Visualization and Computer Graphics, 22, 2594–2607. https://doi.org/10/ghppzs
Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2015). The State-of-the-Art of Set Visualization. Computer Graphics Forum, Early view. https://doi.org/10/cwc5
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In M. O. Ward, G. Grinstein, & D. Keim (Eds.), Interactive Data Visualization: Foundations, Techniques, and Applications (2nd ed., pp. 253–284). A K Peters/CRC Press. https://www.crcpress.com/product/isbn/9781482257373
Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. Computers & Graphics, 38, 286–290. https://doi.org/10/f3szvk
Rind, A., Wang, T. D., Aigner, W., Miksch, S., Wongsuphasawat, K., Plaisant, C., & Shneiderman, B. (2013). Interactive Information Visualization to Explore and Query Electronic Health Records. Foundations and Trends in Human–Computer Interaction, 5(3), 207–298. https://doi.org/10/f3szvd
Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis), 19, 2496–2505. https://doi.org/10/3v3
Aigner, W., Hoffmann, S., & Rind, A. (2013). EvalBench: A Software Library for Visualization Evaluation. Computer Graphics Forum, 32(3), 41–50. https://doi.org/10/f3szvb
Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2247–2256. https://doi.org/10/f3szvg
Aigner, W., Rind, A., & Hoffmann, S. (2012). Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions. Computer Graphics Forum, 31(3), 995–1004. https://doi.org/10/f9skn4
Alsallakh, B., Aigner, W., Miksch, S., & Gröller, E. (2012). Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2012), 18(12), 2849–2858. https://doi.org/10/f4fwmj
Aigner, W., Kainz, C., Ma, R., & Miksch, S. (2011). Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. Computer Graphics Forum, 30(1), 215–228. https://doi.org/10/fjf52x
Schneider, T., & Aigner, W. (2011). A-Plan: Integrating Interactive Visualization With Automated Planning for Cooperative Resource Scheduling. Proceedings of International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), 44:1-44:8. https://doi.org/10/dzvszp
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2011). Visualization of Time-Oriented Data. Springer Verlag; http://www.timeviz.net. https://doi.org/10.1007/978-0-85729-079-3
Smuc, M., Mayr, E., Lammarsch, T., Aigner, W., Miksch, S., & Gärtner, J. (2009). To Score or Not to Score? Tripling Insights for Participatory Design. IEEE Computer Graphics and Applications, 29(3), 29–38. https://doi.org/10/cb6vw8
Aigner, W., Miksch, S., Müller, W., Schumann, H., & Tominski, C. (2008). Visual Methods for Analyzing Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 14(1), 47–60. https://doi.org/10/c2qm3s
Aigner, W., Kaiser, K., & Miksch, S. (2008). Visualization Techniques to Support Authoring, Execution, and Maintenance of Clinical Guidelines. In A. ten Teije, P. Lucas, & S. Miksch (Eds.), Computer-Based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 140–159). IOS Press, Health Technology and Informatics. http://mc.fhstp.ac.at/sites/default/files/publications/2008/aigner_2008_VisuCGP.pdf
Aigner, W., Miksch, S., Müller, W., Schumann, H., & Tominski, C. (2007). Visualizing Time-Oriented Data - A Systematic View. Computers & Graphics, 31(3), 401–409. https://doi.org/10/dxs9t9
Aigner, W., & Miksch, S. (2006). CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data. Artifical Intelligence in Medicine (AIIM), 37(3), 203–218. https://doi.org/10/cbwjct

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