Turn-It-Up: Rendering Resistance for Knobs in Virtual Reality through Undetectable Pseudo-Haptics
UIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, Page: 1-10
2023
- 6Citations
- 25Usage
- 9Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- CrossRef6
- Usage25
- Downloads18
- Abstract Views7
- Captures9
- Readers9
Conference Paper Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85178515362&origin=inward; http://dx.doi.org/10.1145/3586183.3606787; https://dl.acm.org/doi/10.1145/3586183.3606787; https://ink.library.smu.edu.sg/sis_research/8271; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=9274&context=sis_research; https://dx.doi.org/10.1145/3586183.3606787
Association for Computing Machinery (ACM)
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