Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality
PubDate: Jan 2025
Teams:Virginia Tech, Lawrence Livermore National Laboratory
Writers:Leonardo Pavanatto, Alexander Giovannelli, Brian Giera, Peer-Timo Bremer, Haichao Miao, Doug Bowman
Abstract
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.
