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DOE OSTI · 3027652

Immersive Analytics in Critical Spatial Domains: From Materials to Energy Systems

Khadka, Rajiv [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000322518751)
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Abstract

Immersive analytics (IA) leverages virtual reality, augmented reality, and mixed reality to transform how users interact with complex datasets across domains such as science, industry, and education. These immersive technologies offer spatial and multimodal environments that foster intuitive exploration, but they also introduce challenges related to cognitive load, interface design, and system performance. Here, this article presents a comprehensive review of visualization techniques, interaction models, and multimodal inputs utilized in IA. Drawing on case studies in scientific visualization, industrial training, and educational communication, we examine both the potential and limitations of current systems. Finally, we propose future research directions, focusing on real‐time collaboration, adaptive user interfaces, and scalable data exploration strategies to advance the field.

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99 - GENERAL AND MISCELLANEOUSAugmented RealityImmersive AnalyticsMixed RealityVirtual RealityVisualization

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Khadka, Rajiv [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000322518751). 2025-10-14. Immersive Analytics in Critical Spatial Domains: From Materials to Energy Systems. https://doi.org/10.1002/cem.70076

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