Re-evaluating Virtual Reality Manipulation Techniques for Precise Alignment of Complex 3D Objects
Publication Date
1-1-2026
Document Type
Article
Publication Title
IEEE Transactions on Visualization and Computer Graphics
DOI
10.1109/TVCG.2026.3679131
Abstract
Prior research has developed a number of manipulation techniques that can achieve precise object placement in virtual reality, but studies of these techniques typically use simple objects. We conducted a study comparing two existing techniques, (AMP-IT and WISDOM), during alignment of objects with complex geometry to evaluate the potential influence of geometric complexity on performance, usability, workload and preference. Our findings indicate that participants had faster completion times and higher trial completion rates with AMP-IT on high-precision alignment tasks, contrary to earlier findings that used simple objects. Yet WISDOM is still preferred and considered more usable, despite increased workload and poorer performance, exposing participants' willingness to trade objective performance for comfort during use.
Funding Number
LLNL-LDRD 23-SI-003
Funding Sponsor
U.S. Department of Energy
Keywords
Advanced Manufacturing, Manipulation Techniques, Precise Manipulation, Virtual Reality
Department
Computer Science
Recommended Citation
Cherelle Connor, Alexander Giovannelli, Leonardo Pavanatto, Francielly Rodrigues, Haichao Miao, Vuthea Chheang, Brian Giera, Peer Timo Bremer, and Doug A. Bowman. "Re-evaluating Virtual Reality Manipulation Techniques for Precise Alignment of Complex 3D Objects" IEEE Transactions on Visualization and Computer Graphics (2026). https://doi.org/10.1109/TVCG.2026.3679131
