Turn-It-Up: Pseudo-haptic Resistance and Detection Thresholds for Knobs in Virtual Reality

Martin Feick, André Zenner, Oscar Ariza, Anthony Tang, Cihan Biyikli, and Antonio Krüger. (2023). Turn-It-Up: Pseudo-haptic Resistance and Detection Thresholds for Knobs in Virtual Reality. In UIST 2023: The 36th Annual ACM Symposium on User Interface Software Technology. Acceptance: 121/483 - 25.1%.

Abstract

Rendering adequate haptic feedback for virtual interactions is an essential part of virtual reality experiences. In this work, we are specifically interested in 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 on how C/D ratios correspond to physical resistance perceived during object rotation and outline how our results can be translated to other rotational manipulations. In addition, we present two example use cases that demonstrate the versatility and power of our approach.

Materials

PDF File (http://hcitang.org/papers/2023-uist2023-feick-turnitup.pdf)
Video (http://hcitang.org/papers/2023-uist2023-feick-turnitup.mp4)
DOI (https://doi.org/10.1145/3586183.3606787)

BibTeX

@inproceedings{feick2023turnitup,
  author = {Feick, Martin and Zenner, André and Ariza, Oscar and Tang, Anthony and Biyikli, Cihan and Krüger, Antonio},
  title = {Turn-It-Up: Pseudo-haptic Resistance and Detection Thresholds for Knobs in Virtual Reality},
  year = {2023},
  type = {conference},
  booktitle = {UIST 2023: The 36th Annual ACM Symposium on User Interface Software Technology},
  pdfurl = {http://hcitang.org/papers/2023-uist2023-feick-turnitup.pdf},
  videourl = {http://hcitang.org/papers/2023-uist2023-feick-turnitup.mp4},
  doi = {https://doi.org/10.1145/3586183.3606787},
  acceptance = {121/483 - 25.1%}
}