Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866909671701348352 |
|---|---|
| author | Zimmermann, Eric Bruckner, Stefan |
| author_facet | Zimmermann, Eric Bruckner, Stefan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_01140 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics Zimmermann, Eric Bruckner, Stefan Graphics 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. |
| title | Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics |
| topic | Graphics |
| url | https://arxiv.org/abs/2507.01140 |