Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2024
Abstract
Many illusion and interaction techniques in Virtual Reality (VR) rely on Hand Redirection (HR), which has proved to be effective as long as the introduced offsets between the position of the real and virtual hand do not noticeably disturb the user experience. Yet calibrating HR offsets is a tedious and time-consuming process involving psychophysical experimentation, and the resulting thresholds are known to be affected by many variables—limiting HR’s practical utility. As a result, there is a clear need for alternative methods that allow tailoring HR to the perceptual boundaries of individual users. We conducted an experiment with 18 participants combining movement, eye gaze and EEG data to detect HR offsets Below, At, and Above individuals’ detection thresholds. Our results suggest that we can distinguish HR At and Above from no HR. Our exploration provides a promising new direction with potentially strong implications for the broad field of VR illusions.
Keywords
Virtual reality, hand redirection, detection thresholds, VR illusions, EEG, hand movement, eye gaze
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Areas of Excellence
Digital transformation
Publication
UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, Pittsburgh, October 13-16
First Page
1
Last Page
13
ISBN
9798400706288
Identifier
10.1145/3654777.3676425
Publisher
ACM
City or Country
New Yrok
Citation
FEICK, Martin; REGITZ, Kora Persephone; GEHRKE, Lukas; ZENNER, André; TANG, Anthony; JUNGBLUTH, Tobias Patrick; REKRUT, Maurice; and KRÜGER, Antonio.
Predicting the limits: Tailoring unnoticeable hand redirection offsets in virtual reality to individuals' perceptual boundaries. (2024). UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, Pittsburgh, October 13-16. 1-13.
Available at: https://ink.library.smu.edu.sg/sis_research/9425
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/10.1145/3654777.3676425