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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IVESA - Visual Analysis of Time-Stamped Event Sequences. IEEE Transactions on Visualization and Computer Graphics, 31(4):2235-2256.
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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(11):2496-2506.
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Reflections on interactive visualization of electronic health records: past, present, future. Journal of the American Medical Informatics Association (JAMIA), 31(11):2423-2428.
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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(1):54-64.
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ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. In: ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Cagliari, Italy, 1 July 2024 - 4 July 2024. ACM Digital library, 292-304.
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From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal. npj Digital Medicine, 7(1):161.
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Tag-Xplore: Interactive Exploration of Annotation Practices in Digital Editions. In: EuroVis Workshop on Visual Analytics (EuroVA), Odense, Denmark, 27 May 2024. The Eurographics Association, online.
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"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-Management. In: CHI '24: CHI Conference on Human Factors in Computing Systems, Honolulu HI USA, 11 May 2024 - 16 May 2024. ACM Digital library, online.
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Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop. In: IEEE VIS: Visualization in Data Science Symposium (VDS), Tampa, USA, 13 Oktober 2024 - 18 Oktober 2024. Institute of Electrical and Electronics Engineers, 1-5.
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Towards Personal Explanations for Recommender Systems: A Study on the Impact of Familiarity and Urgency. In: NordiCHI Adjunct 2024: Nordic Conference on Human-Computer Interaction, Uppsala, Sweden, 13 Oktober 2024 - 16 Oktober 2024. Association for Computing Machinery, 1-8.
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2023
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LFPeers: Temporal similarity search and result exploration. Computers & Graphics, 115:81-95.
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How applicable are attribute-based approaches for human-centered ranking creation?. Computers & Graphics, 114:45-58.
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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(8):3441-3457.
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Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study. In: EuroVis Workshop on Visual Analytics (EuroVA), Leipzig, 12 June 2023, 7-12.
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Interaction Tasks for Explainable Recommender Systems. In: EuroVis 2023 - Posters, Leipzig, 12 Juni 2023 - 16 Juni 2023. The Eurographics Association, 37-39.
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ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions. In: EuroVis 2023 - Posters, Leipzig, 12 Juni 2021 - 16 Juni 2021. The Eurographics Association, 49-51.
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RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. In: EuroVis 2023 - Short Papers, Leipzig, 14 Juni 2023. The Eurographics Association, 13-17.
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The Future of Interactive Data Analysis and Visualization. In: EuroVis 2023 - Panel, Leipzig, Germany, 12 Juni 2023 - 16 Juni 2023. Eurographics Association, online.
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Why am I reading this? Explaining Personalized News Recommender Systems. In: EuroVis Workshop on Visual Analytics (EuroVA), Leipzig, 12 June 2023. The Eurographics Association, 67-72.
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