Institut für
Creative\Media/Technologies

Team

Dipl.-Ing. Mag. Alexander Rind

  • Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: A - Campus-Platz 1
T: +43/2742/313 228 653

Studiengänge

  • Digital Healthcare (MA)
  • Digital Media Production (MA)
  • Digital Business Communications (MA)
  • Digitale Medientechnologien (MA)
  • Medientechnik (BA)
  • Digital Design (MA)
  • Interactive Technologies (MA)

Departments

  • Digital Business und Innovation
  • Medien und Digitale Technologien

Kurzprofil

  • 1998–2004 Diplomstudium der Wirtschaftsinformatik an der Technischen Universität Wien, der Universität Wien und der Lund University, Schweden
  • 2004–2007 Wissenschaftlicher Mitarbeiter bei Krems Research Forschungsgesellschaft
  • 2007–2011 Wissenschaftlicher Mitarbeiter am Departments für Information & Knowledge Engineering der Donau-Universität Krems
  • 2011–2013 Forschungsassistent am Institut für Softwaretechnik & Interaktive Systeme der Technischen Universtität Wien
  • Beteiligung an grundlagen- und anwendungsorientierten Forschungs- und Beratungsprojekten sowie Publikationen und internationale Vortragstätigkeit in den Bereichen Informationsvisualisierung

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Ausgewählte Publikationen

Bibtex für alle Ergebnisse downloaden
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10/gdv9s7
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics. https://doi.org/10/cwdc
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
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
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

Publikationen

Typen
Von
Bis
Bibtex für alle Ergebnisse downloaden
Rind, A., Blasinger, A., Enge, K., Grassinger, F., Oliveira, V. A. de. J., & Zauchinger, M. (2024, May 24). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2024, St. Pölten. https://langenachtderforschung.at/station/1213
Brandstetter, M., Loidl, H., Schwital, C., Goger, K., Engel-Unterberger, C., & Rind, A. (2024, May 16). Biografische Diagnostik und Biografiearbeit mit digitalen Tools [Workshop]. Social Work Science Day, St. Pölten/virtual. https://swsd.fhstp.ac.at/tagungsdokumentation/social-work-science-day-2024/workshops-2024
Wagner, M., Böck, A., Größbacher, S., & Rind, A. (2024, May 16). Industrial Data Lab [Poster]. Digitech Corner/AIMS 5.0 General Asssembly, St. Pölten.
Marquardsen, K., Modrow, K., Schwital, C., Goger, K., Engel-Unterberger, C., & Rind, A. (2024, May 16). Dynamik sozialer Netzwerke und deren Bedeutung in der Sozialen Arbeit [Workshop]. Social Work Science Day, St. Pölten/virtual. https://swsd.fhstp.ac.at/tagungsdokumentation/social-work-science-day-2024/workshops-2024
Elmquist, E., Enge, K., Rind, A., Navarra, C., Höldrich, R., Iber, M., Bock, A., Ynnerman, A., Aigner, W., & Rönnberg, N. (2024). Parallel Chords: an audio-visual analytics design for parallel coordinates. Personal and Ubiquitous Computing, 28, 657–676. https://doi.org/10.1007/s00779-024-01795-8
Rind, A., Enge, K., Iber, M., Rönnberg, N., Lenzi, S., Elmquist, E., Caiola, V., Lan, F., Höldrich, R., & Aigner, W. (2024). Integrating Sonification and Visualization - But Why? In H.-J. Schulz & T. Isenberg (Eds.), EuroVis 2024 - Panel (p. 5 pages). Eurographics. https://doi.org/10.2312/evt.20241100
Enge, K., Elmquist, E., Caiola, V., Rönnberg, N., Rind, A., Iber, M., Lenzi, S., Lan, F., Höldrich, R., & Aigner, W. (2024). Open Your Ears and Take a Look: A State-of-the-Art Report on the Integration of Sonification and Visualization. Computer Graphics Forum (EuroVis "24), 43(3), e15114:1-e15114:30. https://doi.org/10.1111/cgf.15114
Rind, A., Enge, K., & Iber, M. (2023, September 29). SoniVis: Datenanalyse mit Augen und Ohren [Demo & Poster]. European Researchers" Night 2023, Graz.
Iber, M., Enge, K., Rind, A., Höldrich, R., Rönnberg, N., Bruce, W., & Aigner, W. (2023). Audio-Visual Analytics Community: Bringing Senses to Mind | Panel Discussion at ICAD 2023. 2.
Enge, K., Rind, A., Iber, M., Höldrich, R., & Aigner, W. (2023). Towards a Unified Terminology for Sonification and Visualization. Personal and Ubiquitous Computing, 27(5), 1949–1963. https://doi.org/10.1007/s00779-023-01720-5
Aigner, W., Enge, K., Iber, M., Rind, A., Elmqvist, N., Höldrich, R., Rönnberg, N., & Walker, B. N. (2022, October 20). Audio-Visual Analytics: Potential Applications of Combined Sonifications and Visualizations [Application Spotlight]. IEEE VIS 2022, Oklahoma City, US. https://ieeevis.org/year/2022/info/spotlights#spot2
Rind, A., Aigner, W., Böck, J., Grassinger, F., Oliveira, V. A. de. J., Wu, H.-Y., & Zauchinger, M. (2022, September 30). Daten erlebbar machen: Wie Daten sichtbar, hörbar und greifbar werden [Demo & Poster]. European Researchers" Night 2022, St. Pölten.
Aigner, W., Enge, K., Iber, M., Rind, A., Elmqvist, N., Höldrich, R., Rönnberg, N., & Walker, B. N. (2022). Workshop on Audio-Visual Analytics. Proceedings of the 2022 International Conference on Advanced Visual Interfaces, 92:1-92:4. https://doi.org/10.1145/3531073.3535252
Rind, A., Böck, J., Boucher, M., Grassinger, F., Kirchknopf, A., Stoiber, C., Stumpe, E., & Zauchinger, M. (2022). Wie können wir Daten erlebbar machen? [Demo & Poster]. Lange Nacht der Forschung 2022, St. Pölten.
Enge, K., Rind, A., Iber, M., Höldrich, R., & Aigner, W. (2022). Towards Multimodal Exploratory Data Analysis: SoniScope as a Prototypical Implementation. In M. Agus, W. Aigner, & T. Hoellt (Eds.), Proc. 24th Eurographics Conference on Visualization (EuroVis 2022) - Short Papers (pp. 67–71). Eurographics Association. https://doi.org/10.2312/evs.20221095
Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006
Aigner, W., Enge, K., Iber, M., Rind, A., Elmqvist, N., Höldrich, R., Rönnberg, N., & Walker, B. N. (2021). Workshop on Audio-Visual Analytics – Identifying Research Gaps for Integrating Sonification and Visualization. Audio Mostly Workshops.
Enge, K., Rind, A., Iber, M., Höldrich, R., & Aigner, W. (2021). It’s about Time: Adopting Theoretical Constructs from Visualization for Sonification. Proceedings of the 16th International Audio Mostly Conference (AM"21), 64–71. https://doi.org/10/gnhmbh
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]. http://arxiv.org/abs/1906.07377
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
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. Proc. IEEE Workshop on Visual Analytics in Healthcare (VAHC), 33–40. https://doi.org/10/gh377m
Rind, A., Iber, M., & Aigner, W. (2018). Bridging the Gap Between Sonification and Visualization. Proc. AVI Workshop on Multimodal Interaction for Data Visualization (MultimodalVis). https://doi.org/10.5281/zenodo.6510341
Rind, A., Grassinger, F., Kirchknopf, A., Stoiber, C., & Özüyilmaz, A. (2018). ContractVis HighLighter: the Visual Assistant for the Fine Print. In A. Khalili & M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems - SEMANTiCS2018. CEUR-WS. http://mc.fhstp.ac.at/sites/default/files/publications/contractvis-highlighter-visual.pdf
Aigner, W., Rind, A., & Wagner, M. (2018). KAVA-Time: Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data. Tagungsband Des 12. Forschungsforum Der Österreichischen Fachhochschulen (FFH) 2018. http://ffhoarep.fh-ooe.at/handle/123456789/1070
Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10/gdv9s7
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
Erlinger-Schiedlbauer, C., Neubauer, G., Petrovic-Majer, S., Rind, A., Schlarb, S., & Spangl, B. (2018). Semantische Suchabfragen mit der Linked Open Data Cloud generieren. SocietyByte, Wissenschaftsmagazin Des BFH-Zentrums Digital Society. https://www.societybyte.swiss/2018/10/24/semantische-suchabfragen-mit-der-linked-open-data-cloud-generieren/
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics. https://doi.org/10/cwdc
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
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
Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Computer Graphics Forum, 36, 227–238. https://doi.org/10/gbnsx6
Bernád, Á. Z., Kaiser, M., Mair, S. M., & Rind, A. (2017). Communities in biographischen Netzwerken. Proceedings of the 10th Forum Media Technology and 3rd All Around Audio Symposium, 83–87. http://ceur-ws.org/Vol-2009/fmt-proceedings-2017-paper12.pdf
Wagner, M., Sacha, D., Rind, A., Fischer, F., Luh, R., Schrittwieser, S., Keim, D. A., & Aigner, W. (2017). Visual Analytics: Foundations and Experiences in Malware Analysis. In L. B. Othmane, M. G. Jaatun, & E. Weippl (Eds.), Empirical Research for Software Security: Foundations and Experience (pp. 139–171). CRC/Taylor and Francis.
Rind, A., Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., & Wagner, M. (2017). Visual Analytics of Electronic Health Records with a Focus on Time. In G. Rinaldi (Ed.), New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners (pp. 65–77). Springer. https://doi.org/10.1007/978-3-319-28661-7_5
Kromer, L., Wagner, M., Blumenstein, K., Rind, A., & Aigner, W. (2016). Performance Comparison between Unity and D3.js for Cross-Platform Visualization on Mobile Devices. Proceedings of the 9th Forum Media Technology 2016, 47–52. http://mc.fhstp.ac.at/sites/default/files/publications/Kromer_2016_FMT_crossVisComparison.pdf
Rind, A. (2016, April 5). Information Visualization with a Focus on Health Care [Invited lecture]. International Teacher Exchange Week 2016, Oulu University of Applied Sciences.
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2016). Visual Analytics for Time Series Model Selection, Prediction, and Imputation. Extended Abstract at Austrian Statistical Days. https://publik.tuwien.ac.at/files/PubDat_242014.pdf
Niederer, C., Rind, A., & Aigner, W. (2016). Multi-Device Visualisation Design for Climbing Self-Assessment. Proceedings of International Conference on Information Visualisation (IV16), 171–176. http://mc.fhstp.ac.at/sites/default/files/publications/2016_IV_Climbing_Niederer.pdf
Niederer, C., Rind, A., Aigner, W., Ausserhofer, J., Gutounig, R., & Sedlmair, M. (2016). Visual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction. Proceedings of the 10th Forschungsforum Der Österreichischen Fachhochschulen. http://mc.fhstp.ac.at/sites/default/files/publications/2016_FFH_VALiD_Niederer.pdf
Wagner, M., Rind, A., Rottermanner, G., Niederer, C., & Aigner, W. (2016). Knowledge-Assisted Rule Building for Malware Analysis. Proceedings of the 10th Forschungsforum Der Oesterreichischen Fachhochschulen.
Wagner, M., Blumenstein, K., Rind, A., Seidl, M., Schmiedl, G., Lammarsch, T., & Aigner, W. (2016). Native Cross-platform Visualization: A Proof of Concept Based on the Unity3D Game Engine. Proceedings of International Conference on Information Visualisation (IV16), forthcoming. https://doi.org/10/cwc7
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
Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In W. Aigner, G. Schmiedl, K. Blumenstein, & M. Zeppelzauer (Eds.), Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73). CEUR-WS.org. http://ceur-ws.org/Vol-1734/fmt-proceedings-2016-paper8.pdf
Rind, A. (2015, October 21). Visual Analytics of Health Care Data with a Focus on Time [Invited talk]. International Workshop 2015: Medical records update, Pesaro, Italy.
Niederer, C., Aigner, W., & Rind, A. (2015). Survey on Visualizing Dynamic, Weighted, and Directed Graphs in the Context of Data-Driven Journalism. In H.-J. Schulz, B. Urban, & U. Freiherr von Lukas (Eds.), Proceedings of the International Summer School on Visual Computing (pp. 49–58). Frauenhoferverlag. http://mc.fhstp.ac.at/sites/default/files/publications/Niederer_et_al_2015_Survey_on_Visualizing_Dynamic%2C_Weighted%2C_and_Directed.pdf
Wagner, M., Aigner, W., Haberson, A., & Rind, A. (2015, April). Literature review in visual analytics for malware pattern analysis. Proceedings of the 9th Forschungsforum Der Österreichischen Fachhochschulen.
Rind, A. (2015, January 21). Visual Analytics with a Focus on Time [Invited talk]. MAP 2015, CNRS, Marseille, France.
Bögl, M., Filzmoser, P., Gschwandtner, T., Miksch, S., Aigner, W., Rind, A., & Lammarsch, T. (2015). Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. Poster Proceedings of the IEEE Visualization Conference 2015. https://doi.org/10/gh3744
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. In E. Bertini & J. C. Roberts (Eds.), Proceedings of theEuroVis Workshop on Visual Analytic, EuroVA (pp. 73–77). Eurographics. https://doi.org/10/f3szvn
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
Wagner, M., Aigner, W., Rind, A., Dornhackl, H., Kadletz, K., Luh, R., & Tavolato, P. (2014). Problem Characterization and Abstraction for Visual Analytics in Behavior-Based Malware Pattern Analysis. In L. Harrison (Ed.), Proceedings of the Eleventh Workshop on Visualization for Cyber Security (pp. 9–16). ACM. https://doi.org/10/cv8p
Lammarsch, T., Aigner, W., Miksch, S., & Rind, A. (2014). Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing. Proceedings of the IEEE VIS 2014 Workshop on Envisioning Visualization without Desktop Computing. https://publik.tuwien.ac.at/files/PubDat_233657.pdf
Federico, P., Hoffmann, S., Rind, A., Aigner, W., & Miksch, S. (2014). Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions. Proceedings of the 12th International Working Conference on Advanced Visual Interfaces (AVI2014), 273–280. https://doi.org/10/ghppzg
Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2014). Mind the Time: Unleashing Temporal Aspects in Pattern Discovery. Computers & Graphics, 38, 38–50. https://doi.org/10/f3szvj
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User Tasks for Evaluation: Untangling the Terminology Throughout Visualization Design and Development. In H. Lam, P. Isenberg, T. Isenberg, & M. Sedlmair (Eds.), Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (pp. 9–15). ACM. https://doi.org/10/f3szvm
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2014). Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In A. Perer, E. Bertini, R. Maciejewski, & J. Sun (Eds.), Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, VPA. https://publik.tuwien.ac.at/files/PubDat_232994.pdf
Lammarsch, T., Aigner, W., Bertone, A., Bögl, M., Gschwandtner, T., Miksch, S., & Rind, A. (2013). Interactive Visual Transformation for Symbolic Representation of Time-oriented Data. In A. Holzinger, M. Ziefle, & V. Glavinić (Eds.), Proceedings of the International Conference on Human Factors in Computing & Informatics (SouthCHI 2013). Springer. http://publik.tuwien.ac.at/files/PubDat_218044.pdf
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
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., Hoffmann, S., & Rind, A. (2013). EvalBench: A Software Library for Visualization Evaluation. Computer Graphics Forum, 32(3), 41–50. https://doi.org/10/f3szvb
Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2237–2246. https://doi.org/10/f3szvh
Lammarsch, T., Rind, A., Aigner, W., & Miksch, S. (2012). Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time. In K. Matkovic & G. Santucci (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012) (pp. 31–35). Eurographics Publications. https://doi.org/10/f3szt9
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
Pohl, M., Wiltner, S., Miksch, S., Aigner, W., & Rind, A. (2012). Analysing Interactivity in Information Visualisation. KI - Künstliche Intelligenz, 26(2), 151–159. https://doi.org/10/fx57q8
Rind, A., Neubauer, B., Aigner, W., & Miksch, S. (2012). Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time. In K. Matkovic & G. Santucci (Eds.), EuroVA 2012 Poster Proceedings (p. 3). Eurographics. http://publik.tuwien.ac.at/files/PubDat_207731.pdf
Aigner, W., Federico, P., Gschwandtner, T., Miksch, S., & Rind, A. (2012). Challenges of Time-oriented Data in Visual Analytics for Healthcare. In J. J. Caban & D. Gotz (Eds.), IEEE VisWeek Workshop on Visual Analytics in Healthcare (p. 4). IEEE. http://publik.tuwien.ac.at/files/PubDat_210197.pdf
Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2011). Towards a Concept how the Structure of Time Can Support the Visual Analytics Process. In S. Miksch & G. Santucci (Eds.), Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011) (pp. 9–12). Eurographics Publications. https://doi.org/10/f3szt8
Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Turic, T., & Drexler, F. (2011). Visual Exploration of Time-oriented Patient Data for Chronic Diseases: Design Study and Evaluation. In A. Holzinger & K.-M. Simonic (Eds.), Proceedings of USAB 2011: Information Quality in e-Health (pp. 301–320). Springer. https://doi.org/10/dckhsb
Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Drexler, F., Neubauer, B., & Suchy, N. (2011). Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots. In M. M. Robertson (Ed.), Ergonomics and Health Aspects of Work with Computers, Proceedings of the International Conference held as part of HCI International 2011 (pp. 139–148). Springer. https://doi.org/10/dbncwp
Pohl, M., Wiltner, S., Rind, A., Aigner, W., Miksch, S., Turic, T., & Drexler, F. (2011). Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Proceedings of 13th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT 2011), Part IV (pp. 292–299). Springer. https://doi.org/10/d8xx4h
Rind, A., Aigner, W., Turic, T., Miksch, S., & Pohl, M. (2010). VisuExplore: Gewinnung neuer medizinischer Erkenntnisse durch visuelle Exploration. In G. Schreier, D. Hayn, & E. Ammenwerth (Eds.), Tagungsband der eHealth2010: Health Informatics meets eHealth (pp. 273–278). OCG. http://publik.tuwien.ac.at/files/PubDat_190161.pdf
Rind, A., Miksch, S., Aigner, W., Turic, T., & Pohl, M. (2010). VisuExplore: Gaining New Medical Insights from Visual Exploration. In G. R. Hayes & D. S. Tan (Eds.), Proceedings of the 1st International Workshop on Interactive Systems in Healthcare (WISHatCHI2010) (pp. 149–152). http://publik.tuwien.ac.at/files/PubDat_190298.pdf
Aigner, W., Bertone, A., Lammarsch, T., Miksch, S., & Rind, A. (2009). Interactively Exploring Time-Oriented Data. Workshop Notes of CHI 2009 Workshop "Interacting with Temporal Data" at Conference on Human Factors in Computing Systems (CHI 2009). https://publik.tuwien.ac.at/files/PubDat_217974.pdf
Aigner, W., Rind, A., & Miksch, S. (2009). InfoVis:Wiki (http://www.infovis-wiki.net): A Community Platform for Information Visualization. Proceedings of VisWeek 2009 Workshop ""Putting Visualization on the Web."" http://www.ifs.tuwien.ac.at/~rind/preprint/aigner_2009_infovis-wiki.pdf
Rind, A. (2008). Datenflut im medizinischen Alltag - PatientInnendaten im Überblick. TIMNEWSupgrade, 42(2), 20–21.
Waldhör, K., Freidl, C., Rind, A., & Ecker, K. (2008). TAI (Day Trip Indicator) – Measuring Value Added in the Tourism Sector. In R. Egger & D. Buhalis (Eds.), eTourism Case Studies: Management and Marketing Issues in eTourism (pp. 361–371). Elsevier. http://books.google.at/books?id=6J4qnLeywS8C
Waldhör, K., & Rind, A. (2008). etBlogAnalysis – Mining Virtual Communities using Statistical and Linguistic Methods for Quality Control in Tourism. In P. O´Connor, W. Höpken, & U. Gretzel (Eds.), Information and Communication Technologies in Tourism 2008 (pp. 453–462). Springer. https://doi.org/10/fmgb34

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