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Auflistung nach Schlagwort "Immersive Analytics"

1 - 4 von 4
  • Textdokument
    Analyse und Aufzeigen von Zusammenhängen
    (INFORMATIK 2017, 2017) Schreiber, Falk
  • Zeitschriftenartikel
    Entwicklung einer VR-Umgebung zur Exploration von Process-Mining
    (HMD Praxis der Wirtschaftsinformatik: Vol. 59, No. 1, 2022) Wetzel, Manuel; Koschmider, Agnes
    VR-Umgebungen werden bereits in zahlreichen Anwendungsszenarien erfolgreich zur Visualisierung von Daten mit dem Ziel beispielsweise der Lernprozessunterstützung eingesetzt. Dieser Beitrag stellt eine VR-basierte Umgebung für Process-Mining mit dem Ziel der Prozessanalyseunterstützung vor. Die VR-basierte Umgebung ermöglicht, Prozessdaten aus Quellsystemen dynamisch anzubinden und zu laden und diese als ein dreidimensionales Prozessmodell zu visualisieren und zu analysieren. Die VR-Umgebung wurde systematisch basierend auf einer Anforderungsanalyse konzipiert, die aus kommerziellen (2D) Process-Mining Werkzeugen und verwandten Arbeiten aus der Literatur abgeleitet wurde. Bei der Implementierung der Umgebung wurde Wert auf Erweiterbarkeit und Offenheit der Umgebung gelegt. Im Gegensatz zu einer zweidimensionalen Visualisierung ermöglicht die VR-Umgebung für Process-Mining eine verbesserte Exploration der Zusammenhänge zwischen Prozessen und Daten (z. B. Prozesskennzahlen wie Ressourcenauslastung, Durchlaufzeit, Prozessabweichungen). VR environments are already being used successfully in numerous application scenarios for the visualization of data with the aim of e.g., supporting learning processes. This paper presents a VR-based environment for process mining with the aim of supporting process analysis. The VR-based environment makes it possible to dynamically link and load process data from source systems and to visualize and analyze them as a three-dimensional process model. The VR environment was systematically designed on a requirements analysis derived from commercial (2D) process mining tools and related work from the literature. When implementing the environment, emphasis was placed on extensibility and openness of the environment. In contrast to a two-dimensional visualization, the VR environment for process mining supports an improved exploration of the relationships between processes and data (e.g., KPIs such as resource utilization, lead time, process deviations).
  • Konferenzbeitrag
    Ground Control: Leveraging the User's Spatial Position as an Input Modality in an Embodied Immersive Analysis Use Case
    (Proceedings of Mensch und Computer 2024, 2024) Katins, Christopher; Chen, Katja; Grodon, Thorben; Kosch, Thomas
    Extended Reality (XR) has already enabled sophisticated implementations of immersive visualizations, providing a more intuitive and engaging way of analyzing data. Yet, the user interaction with such immersive visualizations remains challenging, often relying on hand tracking or additional devices. We introduce a novel XR prototype that leverages the concept of embodied exploration, allowing users to interact with an exemplary visualization directly through their spatial position within the room relative to the displayed data. This approach eliminates the need for handheld controllers, offering a more intuitive engagement with the visualization. Our preliminary evaluation with twelve participants reveals a general preference for using XR for immersive visualizations compared to PC and paper-based versions. We suggest further research into non-standard interaction and exploration modalities for data analysis applications using XR, potentially offering new possibilities for engaging interactions with data.
  • Zeitschriftenartikel
    Immersive analytics: An overview
    (it - Information Technology: Vol. 64, No. 4-5, 2022) Klein, Karsten; Sedlmair, Michael; Schreiber, Falk
    Immersive Analytics is concerned with the systematic examination of the benefits and challenges of using immersive environments for data analysis, and the development of corresponding designs that improve the quality and efficiency of the analysis process. While immersive technologies are now broadly available, practical solutions haven’t received broad acceptance in real-world applications outside of several core areas, and proper guidelines on the design of such solutions are still under development. Both fundamental research and applications bring together topics and questions from several fields, and open a wide range of directions regarding underlying theory, evidence from user studies, and practical solutions tailored towards the requirements of application areas. We give an overview on the concepts, topics, research questions, and challenges.