ClayVolume: A progressive refinement interaction system for immersive visualization
Zhenyuan Wang, Qing Shan Zhao, Yue Zhang, Jinhui Zhang, Guihua Shan, Xiao Zhou, Dong Tian · Visual Informatics · 2025
Immersive visualization has become an important tool for discovering hidden patterns and obtaining insights from data. Target acquisition in immersive visualization is a fundamental step in visual analysis. However, limited visual encoding attributes and the presence of stacking and occlusion in immersive environments pose challenges in discovering valuable targets and making unambiguous selections. In this paper, we present ClayVolume, an interactive system designed for immersive visualization. It comprises metaphorical tools for customizing regions of interest (ROIs) and multiple views that serve as interactive and analytical mediums. ClayVolume empowers analysts to efficiently acquire valuable targets through a progressive refinement of interactive methods, enabling further extraction of insights. We evaluate ClayVolume in the scenario of immersive visualization of network data and perform a comparative analysis of its performance against other techniques in target selection tasks. The results indicate that ClayVolume enables flexible target selection in immersive visualization and provides fast target discovery and localization capabilities. • A selection tool for defining ROIs in immersive visualization with depth awareness. • A navigation tool using WiM technology, featuring destination previews for accuracy. • A multi-view tool for data awareness, optimizing target acquisition with spatial cues.