Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality
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_ | 1866929695200641024 |
|---|---|
| author | Pavanatto, Leonardo Giovannelli, Alexander Giera, Brian Bremer, Peer-Timo Miao, Haichao Bowman, Doug |
| author_facet | Pavanatto, Leonardo Giovannelli, Alexander Giera, Brian Bremer, Peer-Timo Miao, Haichao Bowman, Doug |
| contents | Locating small features in a large, dense object in virtual reality (VR) poses a significant interaction challenge. While existing multiscale techniques support transitions between various levels of scale, they are not focused on handling dense, homogeneous objects with hidden features. We propose a novel approach that applies the concept of progressive refinement to VR navigation, enabling focused inspections. We conducted a user study where we varied two independent variables in our design, navigation style (STRUCTURED vs. UNSTRUCTURED) and display mode (SELECTION vs. EVERYTHING), to better understand their effects on efficiency and awareness during multiscale navigation. Our results showed that unstructured navigation can be faster than structured and that displaying only the selection can be faster than displaying the entire object. However, using an everything display mode can support better location awareness and object understanding. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_00941 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality Pavanatto, Leonardo Giovannelli, Alexander Giera, Brian Bremer, Peer-Timo Miao, Haichao Bowman, Doug Human-Computer Interaction Locating small features in a large, dense object in virtual reality (VR) poses a significant interaction challenge. While existing multiscale techniques support transitions between various levels of scale, they are not focused on handling dense, homogeneous objects with hidden features. We propose a novel approach that applies the concept of progressive refinement to VR navigation, enabling focused inspections. We conducted a user study where we varied two independent variables in our design, navigation style (STRUCTURED vs. UNSTRUCTURED) and display mode (SELECTION vs. EVERYTHING), to better understand their effects on efficiency and awareness during multiscale navigation. Our results showed that unstructured navigation can be faster than structured and that displaying only the selection can be faster than displaying the entire object. However, using an everything display mode can support better location awareness and object understanding. |
| title | Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.00941 |