Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2023
Abstract
Rendering haptic feedback for interactions with virtual objects is an essential part of effective virtual reality experiences. In this work, we explore providing haptic feedback for rotational manipulations, e.g., through knobs. We propose the use of a Pseudo-Haptic technique alongside a physical proxy knob to simulate various physical resistances. In a psychophysical experiment with 20 participants, we found that designers can introduce unnoticeable offsets between real and virtual rotations of the knob, and we report the corresponding detection thresholds. Based on these, we present the Pseudo-Haptic Resistance technique to convey physical resistance while applying only unnoticeable pseudo-haptic manipulation. Additionally, we provide a first model of how C/D gains correspond to physical resistance perceived during object rotation, and outline how our results can be translated to other rotational manipulations. Finally, we present two example use cases that demonstrate the versatility and power of our approach.
Keywords
Virtual reality, Pseudo-haptic resistance, Detection thresholds
Discipline
Graphics and Human Computer Interfaces | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
UIST '23: Proceedings of the 36th ACM Symposium on User Interface Software and Technology, San Francisco, October 29 - November 1
First Page
1
Last Page
10
ISBN
9798400701320
Identifier
10.1145/3586183.3606787
Publisher
ACM
City or Country
New York
Citation
FEICK, Martin; ZENNER, Andre; ARIZA, Oscar; TANG, Anthony; BIYIKLI, Cihan; and KRUGER, Antonio.
Turn-it-up: Rendering resistance for knobs in virtual reality through undetectable pseudo-haptics. (2023). UIST '23: Proceedings of the 36th ACM Symposium on User Interface Software and Technology, San Francisco, October 29 - November 1. 1-10.
Available at: https://ink.library.smu.edu.sg/sis_research/8271
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1145/3586183.3606787