#Visualization
Visualization befasst sich mit der Erkennung von Mustern, Strukturen und Verbindungen in Daten und macht komplexe Informationen durch visuelle Darstellung leichter verständlich.
Publikationen
Rind, A., Boucher, M., De Jesus Oliveira, V. A., Grassinger, F., Stoiber, C., Tekaya, N., & Zauchinger, M. (2025, May 22). Daten erlebbar machen [Demo & Poster]. E3UDRES2 Science Festival, St. Pölten. https://eudres.eu/scifest-stp-2025
Wagner, M., Stoiber, C., Rind, A., Größbacher, S., Böck, A., Vrablicz, J., Felberbauer, T., Moser, T., & Aigner, W. (2025). JR-Centre for Knowledge-Assisted Visual Analytics for Industrial Manufacturing Data. Abstractband: 18. Forschungsforum Der Österreichischen Fachhochschulen : 7. - 8. Mai 2025, 528–530. https://doi.org/10.34895/hcw.0027
Proksa, F. (2025, July 3). Interdisciplinary Alliances with Artistic and AI-Driven Research [Vortrag]. Tricky Women – Best Practice, International Forum, Vienna, Filmmusem. https://online.trickywomen.at/p/25_Sup_Pro_Best_Practice
Aigner, W. (2025, January 13). Wintergraph 2025 - Research Area - Data Visualization. 18th Visual Computing Winter Workshop Austria (Wintergraph 2025), Kaprun.
Aigner, W., Lenzi, S., Rönnberg, N., Enge, K., & Rind, A. (Eds.). (2025). What you hear is what you see? Integrating sonification and visualization (Dagstuhl Seminar 25072). Dagstuhl Reports, 15(2), 63–88. https://doi.org/10.4230/DagRep.15.2.63
Goger, K., & Rind, A. (2025). Soziale Diagnostik digital – web-basierte Instrumente für das Case Management. In S. Schmidt (Ed.), Digitalisierung im Care und Case Management (pp. 227–248). medhochzwei. https://www.medhochzwei-verlag.de/Shop/ProduktDetail/digitalisierung-im-care-und-case-management-978-3-98800-096-5
Rind, A., & Böck, J. (2025). Visual Tools for Input and Reflection in Social Work. Proc. Workshop on Envisioning a Research Agenda for Input Visualization. IEEE VIS 2025. https://doi.org/10.17605/osf.io/ug5pw
Enge, K. (2025). Audio-visual data analytics: Towards a design theory [PhD Thesis, University of Music and Performing Arts Graz]. https://phaidra.kug.ac.at/o:135969
Böck, A. J., Größbacher, S., Vrablicz, J., Stoiber, C., Rind, A., Suschnigg, J., Schreck, T., Aigner, W., & Wagner, M. (2025). KAVAI: A Systematic Review of the Building Blocks for Knowledge-Assisted Visual Analytics in Industrial Manufacturing. Applied Sciences, 15(18), 10172. https://doi.org/10.3390/app151810172
Vrablicz, J., Rind, A., & Mittermayr, C. (2025). Problem Characterization for Interactive Knowledge- Assisted Causal Analysis in Injection Molding. 1st Workshop on Leveraging SEmaNtics for Transparency in Industrial Systems (SENTIS), Co-Located with SEMANTiCS"25: International Conference on Semantic Systems. https://ceur-ws.org/Vol-4064/SENTIS-paper1.pdf