Margit Pohl

Forschungsinteressen/Research Interests

Human-Computer Interaction, Kognitive Psychologie/Cognitive Psychology, E-Learning, Informationsvisualisierung/Information Visualisation, Gender Studies

Curriculum Vitae

• Studium der Wirtschaftsinformatik und Psychologie an der Universität Wien
• Diplomarbeit in Wirtschaftsinformatik über “Ein werttheoretisches Modell in einer Leontief-Ökonomie”
• Dissertation in Psychologie über “Geschlechtsspezifische Unterschiede im Sprachverhalten”
• seit 1991 tätig an der TU Wien
• Habilitation an der TU Wien über “Hypertext und analoge Wissensrepräsentation” (Fach: Human-Computer Interaction)

Education/Ausbildung

• Habilitation (Univ.Doz.), Computer Science, Vienna University of Technology, focus on: Human-Computer Interaction, 2002
• Doctor of Philosophy (Dr.), Psychology, University of Vienna, focus on: Cognitive Psychology, 1993
• Master of Science (Mag.), Information Systems, University of Vienna, focus on: Econometrics,1989

Projekte/Projects (Auswahl)

• “Business Awareness on Sustainable Innovation Strategies – BASIS”, 2000-2002. finanziert von: European Commission, Directorate General XIII, Telecommunications, Information Market and Exploitation of Research
• “MobiLearn” – Mobile Learning: Medieninformatik Any-Time Any-Where. 2002-2004. finanziert von: Bundesministerium für Bildung, Wissenschaft und Kultur (Initiative “Neue Medien in der Lehre an Universitäten und Fachhochschulen”).
• “Ecodesign”. 2003 – 2004. finanziert von: Bundesministerium für Bildung, Wissenschaft und Kultur / Europäischer Sozialfonds (ESF). www.ecodesign.at/ulg
• “Interactive Information Visualization: Exploring and Supporting Human Reasoning Processes”, 2004-2006. finanziert von: WWTF.
• “Visual Analytics – Mastering the Information Age”, 2008-2010, financed by: European Commission, DG Information Society and Media
• “VisuExplore – Winning new medical insights based on visual exploration.” 2008-2011, financed by FFG – Österreichische Forschungsförderungsgesellschaft mbH
• “Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)”, 2010-2017, financed by: FFG -Österreichische Forschungsförderungsgesellschaft
• “GenSiSys – Gendergerechte Gestaltung von Arbeitsplätzen im Bereich sicherheitskritischer Systeme (Gender sensitive Design of workplaces in control rooms) “. 2013 – 2015, financed by: Österreichische Forschungsförderungsgesellschaft (FFG)
• “VALCRI – Visual Analytics for Sense-making in Criminal Intelligence”. 2014 – 2017, financed by the European Commission, Framework Programs
• “Urban Food Spots – Development of the basics for gender and diversity sensitive cooling stations for foodsharing in urban areas”. 2015 – 2017, financed by: Österreichische Forschungsförderungsgesellschaft (FFG)
• “PAIR – Pairwise Visual Comparison of Directed Acyclic Graphs: A HCI Perspective” 2016 – 2019, financed by FWF (under the D-A-CH program)
• 2020 – 2022 SEVA (“Self-Explanatory Visual Analytics for Data-Driven Insight Discovery“), funded by FFG

Publications (Selection)

Pohl, M., Smuc, M., & Mayr, E. (2012). The User Puzzle – Explaining the Interaction with Visual Analytics Systems, IEEE Transactions on Visualization and Computer Graphics, 18 (2012), 2, 151 – 159. doi:10.1109/TVCG.2012.273 [doi]

Schumann, H., Schulz, H.-J., & Pohl, M. (Eds.) (2014). Special section of the Computers & Graphics journal on Visual Analytics, February 2014. doi:10.1016/j.cag.2013.10.029 [doi]

Kriglstein, S., Wallner, G., & Pohl, M. (2014). A User Study of Different Gameplay Visualizations. ACM Conference on Human Factors in Computing Systems – CHI, Toronto, Canada; 28.04.2014 – 01.05.2014. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI) (2014), pp. 361 – 370. doi:10.1145/2556288.2557317 [doi]

Kriglstein, S., Pohl, M., & Smuc, M. (2014). Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data. In W. Huang (Ed.), Handbook of Human Centric Visualization. Springer, pp. 203-225. doi:10.1007/978-1-4614-7485-2_8 [doi]

Pohl, M., Wallner, G., & Kriglstein, S. (2016) Using lag-sequential analysis for understanding interaction sequences in visualizations. International Journal of Human-Computer Studies, 96 (2016), 54 – 66. doi:10.1016/j.ijhcs.2016.07.006 [doi]

Ballweg, K., Pohl, M., Wallner, G., von Landesberger, T. (2017). Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors. GD 2017, (pp. 241-255). Springer, LNCS 10692.

Haider, J., Gastecker, B., Pohl, M., Seidler, P., Kodagoda, N., & Wong, B. L. W. (2018). Sense-making Strategies in Explorative Intelligence Analysis of Network Evolutions. Behavior and Information Technology, 38(2). 1-18. doi:10.1080/0144929X.2018.1519036 [doi]

Ballweg, K., Pohl, M., Wallner, G., & von Landesberger, T. (2018). Visual Similarity Perception of Directed Acyclic Graphs: A Study on Influencing Factors and Similarity Judgement Strategies. Journal of Graph Algorithms and Applications, 22(3). 519-553. doi:10.7155/jgaa.00467 [doi]

Drescher, C., Wallner, G., Kriglstein, S., Sifa, R., Drachen, A., & Pohl, M. (2018). What moves players? Visual data exploration of Twitter and gameplay data. Proceedings of the CHI 2018 conference. doi:10.1145/3173574.3174134 [doi]

Leite, R., Gschwandtner, T., Miksch, S., Kriglstein, S., Pohl, M., Gstrein, E., & Kuntner, J. (2020). EVA: Visual Analytics to Identify Fraudulent Events. IEEE Transactions on Visualization and Computer Graphics, 24(1). 330 – 339. doi:10.1109/TVCG.2017.2744758 [doi]

Bors, C., Gschwandtner, T., Kriglstein, S., Miksch, S., & Pohl, M. (2018). Visual interactive creation, customization, and analysis of data quality metrics. Journal of Data and Information Quality (JDIQ), 10(1), 1-26.

Pohl, M., & Kerren, A. (2019). Human factors and multilayer networks. Workshop on Visualization of Multilayer Networks (MNLVIS’19) at IEEE VIS’19, October 21, 2019, Vancouver, BC, Canada.

Doppler Haider, J., Gastecker, B., Pohl, M., Seidler, P., Kodagoda, N., & Wong, B. W. (2019). Sense-making strategies in explorative intelligence analysis of network evolutions. Behaviour & Information Technology, 38(2), 198-215.

Wallner, G., Pohl, M., von Landesberger, T., & Ballweg, K. (2019). Perception of differences in directed acyclic graphs: influence factors & cognitive strategies. Proceedings of the 31st European Conference on Cognitive Ergonomics. (pp. 57-64).

Riegler, V., Wang, L., Doppler-Haider, J., & Pohl, M. (2019). Evaluation of a novel visualization for dynamic social networks. Proceedings of the 12th International Symposium on Visual Information Communication and Interaction. (pp. 1-8).

Wallner G., Pohl M., Graniczkowska C., Ballweg K., & von Landesberger T. (2020). Influence of Shape, Density, and Edge Crossings on the Perception of Graph Differences. In A.V. Pietarinen, P. Chapman, L. Bosveld-de Smet, V. Giardino, J. Corter,& S. Linker (Eds.), Diagrammatic Representation and Inference. Diagrams 2020. Lecture Notes in Computer Science, vol 12169. Springer, Cham. doi:10.1007/978-3-030-54249-8_27 [doi]

Haider, J. D., Pohl, M., Beecham, R., & Dykes, J. (2021). Strategies for detecting difference in map line-up tasks. Human-Computer Interaction–INTERACT 2021: 18th IFIP TC 13 International Conference, Bari, Italy, August 30–September 3, 2021, Proceedings, Part III 18. (pp. 558-578). Springer International Publishing.

McGee, F., Renoust, B., Archambault, D., Ghoniem, M., Kerren, A., Pinaud, B., … & Von Landesberger, T. (2021). Visual analysis of multilayer networks (Vol. 8, No. 1, pp. 1-150). Morgan & Claypool Publishers.

Tominski, C., Andrienko, G., Andrienko, N., Bleisch, S., Fabrikant, S. I., Mayr, E., … & Skupin, A. (2021). Toward flexible visual analytics augmented through smooth display transitions. Visual Informatics, 5(3), 28-38.

Riegler, V., Wang, L., Doppler-Haider, J. et al. (2021). Who talks to whom: an evaluation of a call log visualization. J Vis 24, 133–156 . doi:10.1007/s12650-020-00696-1 [doi]

Stoiber, C., Walchshofer, C., Pohl, M., Potzmann, B., Grassinger, F., Stitz, H., … & Aigner, W. (2022). Comparative evaluations of visualization onboarding methods. Visual Informatics, 6(4), 34-50. doi:10.1016/j.visinf.2022.07.001 [doi]

Pohl, M. (2023). Visualization Literacy: Über das Entziffern visueller Botschaften. MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, 55, 109-125. doi:10.21240/mpaed/55/2023.10.05.X [doi]

Stoiber, C., Pohl, M., & Aigner, W. (2023). Design Actions for the Design of Visualization Onboarding Methods. 2023 IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis), (pp. 1-10). IEEE. doi:10.1109/EduVis60792.2023.00007 [doi]

Stoiber, C., Wagner, M., Grassinger, F., Pohl, M., Stitz, H., Streit, M., … & Aigner, W. (2023). Visualization Onboarding Grounded in Educational Theories. Visualization Psychology, (pp. 139-164). Cham: Springer International Publishing. doi:10.1007/978-3-031-34738-2_6 [doi]

Pohl, M., Haider, J. D., Seidler, P., Kodagoda, N., & Wong, B. W. (2023). Analysis of Sensemaking Strategies: Psychological Theories in Practice. Visualization Psychology, (pp. 371-388). Cham: Springer International Publishing. doi:10.1007/978-3-031-34738-2_15 [doi]

Graniczkowska, C., Pelchmann, L., von Landesberger, T., & Pohl, M. (2023). Factors Influencing Visual Comparison of Colored Directed Acyclic Graphs. doi:10.2312/vmv.20231232 [doi]