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Description
Virtual Reality (VR) has transformed data visualization by enabling immersive and interactive experiences. CAVE (Cave Automatic Virtual Environment) systems provide a unique platform for exploring complex datasets in an intuitive, spatially immersive manner. However, a standardized pipeline for developing VR scripts tailored to CAVE-based data visualization remains underexplored. This paper presents a structured pipeline for creating and deploying immersive data visualization in CAVE systems, specifically using the WorldViz Prism CAVE environment. Our approach facilitates seamless integration of multi- dimensional datasets, enabling real-time interaction with 27 visual graphs within a single VR scene. The system allows dynamic graph manipulation, interactive exploration, and enhanced user engagement. By streamlining VR script development, this pipeline improves accessibility for researchers and practitioners, fostering a more intuitive understanding of complex datasets. Experimental results demonstrate the effectiveness of this approach in enhancing data interpretability and decision-making.
Publication Date
4-1-2025
Keywords
Virtual Reality, Analytics, Immersive Data Visualization
Recommended Citation
Pendem, Abhinav and Challa, Koundinya Ph.D., "A Pipeline for Immersive Data Visualization for CAVE System" (2025). 2025 Graduate Student Research Symposium. 162.
https://digital.library.ncat.edu/gradresearchsymposium25/162
