Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2022
Abstract
Visuo-haptic illusions are a method to expand proxy-based interactions in VR by introducing unnoticeable discrepancies between the virtual and real world. Yet how different design variables affect the illusions with proxies is still unclear. To unpack a subset of variables, we conducted two user studies with 48 participants to explore the impact of (1) different grasping types and movement trajectories, and (2) different grasping types and object masses on the discrepancy which may be introduced. Our Bayes analysis suggests that grasping types and object masses (≤ 500 g) did not noticeably affect the discrepancy, but for movement trajectory, results were inconclusive. Further, we identified a significant difference between (un)restricted movement trajectories. Our data shows considerable differences in participants’ proprioceptive accuracy, which seem to correlate with their prior VR experience. Finally, we illustrate the impact of our key findings on the visuo-haptic illusion design process by showcasing a new design workflow.
Keywords
Visuo-Haptic Illusions, Grasp, Movement Trajectory, Object Mass
Discipline
Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, USA, April 29 - May 5
First Page
1
Last Page
15
ISBN
9781450391573
Identifier
10.1145/3491102.3517671
Publisher
ACM
City or Country
New Orleans
Citation
FEICK, Martin; REGITZ, Kora Persephone; TANG, Anthony; and KRUGER, Antonio.
Designing visuo-haptic illusions with proxies in virtual reality: Exploration of grasp, movement trajectory and object mass. (2022). CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, USA, April 29 - May 5. 1-15.
Available at: https://ink.library.smu.edu.sg/sis_research/7960
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3491102.3517671