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arXiv · 2507.01140

Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics

Eric Zimmermann·Stefan Bruckner
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Abstract

Immersive visualization of network data enables users to physically navigate and interact with complex structures, but managing transitions between detailed local (egocentric) views and global (exocentric) overviews remains a major challenge. We present a multifocus probe technique for immersive environments that allows users to instantiate multiple egocentric subgraph views while maintaining persistent links to the global network context. Each probe acts as a portable local focus, enabling fine-grained inspection and editing of distant or occluded regions. Visual and haptic guidance mechanisms ensure context preservation during multi-scale interaction. We demonstrate and discuss the usability of our technique for the editing of network data.

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Eric Zimmermann, Stefan Bruckner. 2025-07-01. Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics. https://arxiv.org/abs/2507.01140

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