Publication | ACM SIGCHI Conference on Human Factors in Computing Systems 2022
In-Depth Mouse
Integrating Desktop Mouse into Virtual Reality
This paper describes a technique that integrates a desktop mouse into VR to support productive design work. Our approach uses Depth-Adaptive Cursor, a 2D-mouse driven pointing technique for 3D selection with depth-adaptation that continuously interpolates the cursor depth by inferring what users intend to select based on the cursor position, the viewpoint, and the selectable objects in the scene.
Download publicationAbstract
In-Depth Mouse: Integrating Desktop Mouse into Virtual Reality
Qian Zhou, George Fitzmaurice, Fraser Anderson
ACM SIGCHI Conference on Human Factors in Computing Systems 2022 (Honorable Mention)
Virtual Reality (VR) has the potential for productive knowledge work, however, midair pointing with controllers or hand gestures does not offer the precision and comfort of traditional 2D mice. Directly integrating mice into VR is difficult as selecting targets in a 3D space is negatively impacted by binocular rivalry, perspective mismatch, and improperly calibrated control-display (CD) gain. To address these issues, we developed Depth-Adaptive Cursor , a 2D-mouse driven pointing technique for 3D selection with depth adaptation that continuously interpolates the cursor depth by inferring what users intend to select based on the cursor position, the viewpoint, and the selectable objects. Depth-Adaptive Cursor uses a novel CD gain tool to compute a usable range of CD gains for general mouse-based pointing in VR. A user study demonstrated that Depth-Adaptive Cursor significantly improved performance compared with an existing mouse-based pointing technique without depth-adaption in terms of time (21.2%), error (48.3%), perceived workload, and user satisfaction.
Related Resources
2023
Recently Published by Autodesk ResearchersA selection of recently published papers by Autodesk Researchers…
2012
Swift: Reducing the Effects of Latency in Online Video ScrubbingWe first conduct a study using abstracted video content to measure the…
2020
Multi-speed Gearbox Synthesis Using Global Search and Non-convex OptimizationWe consider the synthesis problem of a multi-speed gearbox, a…
2008
Hardware implementation of a bio-plausible neuron model for evolution and growth of spiking neural networks on FPGAThe natural-language approach to identifying biological analogies…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us