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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2025
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Val-LLM: A Visual Analytics Approach for the Critical Validation of LLM-Generated Tabular Data (Eurographics, Ed.; p. 20251235). Eurographics. https://doi.org/10.2312/vmv.20251235
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Scalable Class-Centric Visual Interactive Labeling Computers & Graphics, 129, 104240. https://doi.org/10.1016/j.cag.2025.104240
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IVESA - Visual Analysis of Time-Stamped Event Sequences IEEE Transactions on Visualization and Computer Graphics, 31, 2235–2256. https://doi.org/10.1109/tvcg.2024.3382760
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Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique JMIR Medical Education, 11, e56369. https://doi.org/10.2196/56369
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2024
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MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis Journal of the American Medical Informatics Association (JAMIA), 31, 2496–2506. https://doi.org/10.1093/jamia/ocae230
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Reflections on interactive visualization of electronic health records: past, present, future Journal of the American Medical Informatics Association (JAMIA), 31, 2423–2428. https://doi.org/10.1093/jamia/ocae249
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DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study IEEE Transactions on Visualization and Computer Graphics, 31, 54–64. https://doi.org/10.1109/tvcg.2024.3456329
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ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization, 292–304. https://doi.org/10.1145/3631700.3665183
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From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal Npj Digital Medicine, 7, 161. https://doi.org/10.1038/s41746-024-01151-3
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Tag-Xplore: Interactive Exploration of Annotation Practices in Digital Editions online. https://doi.org/10.2312/eurova.20241115
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Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop Proceedings of the IEEE Visualization in Data Science, 1–5. https://doi.org/10.1109/VDS63897.2024.00005
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Towards Personal Explanations for Recommender Systems: A Study on the Impact of Familiarity and Urgency Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction, 1–8. https://doi.org/10.1145/3677045.3685430
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2023
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LFPeers: Temporal similarity search and result exploration Computers & Graphics, 115, 81–95. https://doi.org/10.1016/j.cag.2023.06.009
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How applicable are attribute-based approaches for human-centered ranking creation? Computers & Graphics, 114, 45–58. https://doi.org/10.1016/j.cag.2023.05.004
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ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories IEEE Transactions on Visualization and Computer Graphics, 29, 3441–3457. https://doi.org/10.1109/tvcg.2023.3279857
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Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study 7–12. https://doi.org/10.2312/eurova.20231089
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The Future of Interactive Data Analysis and Visualization Proceedings of the EuroVis Panel, online. https://doi.org/10.2312/evt.20231119
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RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings EuroVisShort, 13–17. https://doi.org/10.2312/evs.20231036
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Interaction Tasks for Explainable Recommender Systems EuroVisPosters, 37–39. https://doi.org/10.2312/evp.20231062
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