Application Domains
Research at IVDA includes various methodologies and branches, all related to the meaningful combination of both strengths of humans and machines in the data analysis, knowledge generation, and decision-making process. Particular research tracks are as follows.
Healthcare and Digital Health
The analysis of medical data is relevant for many use cases, including clinical research and patient treatment. While these cases typically represent a doctors'/physicians' perspective, there is yet another user group with an immense information need: patients. In addition, other types of stakeholders involved in the medical domain are, e.g., clinics, quality management environments, operational staff, and insurances.
Digital Libraries
Digital library systems (DLS) enable users to gain access to digital objects (documents, items) through interactive search and filtering capability. In future, DLS may also support exploration and data analysis capabilities to enable users gaining insights even while browsing for interesting digital objects. This is where methods and techniques developed in IVDA can help most.
Digital Humanities
Digital Humanities enters a new era through collaboration with Interactive Visual Data Analysis. We bring dynamic visual interfaces, data science, and AI to empower humanities scholars in the digital transformation. By making complex cultural data explorable and interpretable, we open new pathways for discovery, interpretation, and engagement with human history and culture.
Sustainability Research
Sustainability research and development tackles urgent ecological, social, and economic challenges. We support this vital work with interactive visual data analysis, making complex data understandable and actionable. Our methods reveal patterns, trade-offs, and impacts, enabling informed decisions and collaboration across disciplines - driving sustainable transformation through transparency, engagement, and data-driven insight.
Finance
Economics and Finance rely on complex, dynamic data for critical decision making. We enhance this domain with interactive visual data analysis, turning abstract numbers into intuitive insights. Our techniques empower analysts and stakeholders to explore trends, detect anomalies, and evaluate scenarios - enabling faster, smarter, and more transparent data-driven decisions.
Publications of the IVDA Group
ZORA Publication List
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Publications
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2023
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ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions EuroVisPosters, 49–51. https://doi.org/10.2312/evp.20231065
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Why am I reading this? Explaining Personalized News Recommender Systems Proceedings of the EuroVis Workshop on Visual Analytics, 67–72. https://doi.org/10.2312/eurova.20231099
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2022
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The Effect of Alignment on People’s Ability to Judge Event Sequence Similarity. IEEE Transactions on Visualization and Computer Graphics, 28, 3070–3081. https://doi.org/10.1109/tvcg.2021.3050497
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ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion IEEE Transactions on Visualization and Computer Graphics, 28, 1222–1236. https://doi.org/10.1109/tvcg.2020.3012063
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A Design Space for Explainable Ranking and Ranking Models EuroVisPosters, 35–37. https://doi.org/10.2312/evp.20221114
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IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines IEEE Transactions on Visualization and Computer Graphics, 28, 11–21. https://doi.org/10.1109/tvcg.2021.3114797
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RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings Proceedings of the EuroVis Workshop on Visual Analytics, 7–11. https://doi.org/10.2312/eurova.20221072
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Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding IEEE Transactions on Visualization and Computer Graphics, 28, 2500–2516. https://doi.org/10.1109/TVCG.2022.3148197
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What Shall We Watch Tonight?: Why sometimes your favourite streaming service just cannot manage to recommend anything interesting IEEE VIS Workshop on Visualization for AI Explainability, Oklahoma City. https://ibrahimalhazwani.github.io/distill-xai/
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A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences 66–76. https://doi.org/10.1109/BELIV57783.2022.00012
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ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines IEEE Computer Graphics and Applications, 42, 68–80. https://doi.org/10.1109/MCG.2022.3155306
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Interactive Visual Explanation of Incremental Data Labeling (J. Bernard & M. Angelini, Eds.; pp. 13–17). Eurographics. https://doi.org/10.2312/eurova.20221073
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2021
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QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling ACM Transactions on Interactive Intelligent Systems, 11, 19. https://doi.org/10.1145/3429448
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LFPeers: Temporal Similarity Search in Covid-19 Data (#PLACEHOLDER_PARENT_METADATA_VALUE# & #PLACEHOLDER_PARENT_METADATA_VALUE#, Eds.; pp. 49–53). Eurographics. https://doi.org/10.2312/eurova.20211098
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ProSeCo: Visual analysis of class separation measures and dataset characteristics Computers & Graphics, 96, 48–60. https://doi.org/10.1016/j.cag.2021.03.004
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Co-adaptive visual data analysis and guidance processes Computers & Graphics, 100, 93–105. https://doi.org/10.1016/j.cag.2021.06.016
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Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation 61–65. https://doi.org/10.1109/VIS49827.2021.9623326
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Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation 61–65. https://doi.org/10.1109/VIS49827.2021.9623326
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A Taxonomy of Attribute Scoring Functions 31–35. https://doi.org/10.2312/eurova.20211095
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LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts 99–107. https://doi.org/10.2312/vmv.20211376
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