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A Preliminary Study on Full-Body Haptic Stimulation on Modulating Self-motion Perception in Virtual Reality

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12242))

Abstract

We introduce a novel experimental system to explore the role of vibrotactile haptic feedback in Virtual Reality (VR) to induce the self-motion illusion. Self-motion (also called vection) has been mostly studied through visual and auditory stimuli and a little is known how the illusion can be modulated by the addition of vibrotactile feedback. Our study focuses on whole-body haptic feedback in which the vibration is dynamically generated from the sound signal of the Virtual Environment (VE). We performed a preliminary study and found that audio and haptic modalities generally increase the intensity of vection over a visual only stimulus. We observe higher ratings of self-motion intensity when the vibrotactile stimulus is added to the virtual scene. We also analyzed data obtained with the igroup presence questionnaire (IPQ) which shows that haptic feedback has a general positive effect of presence in the virtual environment and a qualitative survey that revealed interesting and often overlooked aspects such as the implications of using a joystick to collect data in perception studies and in the concept of vection in relation to people’s experience and cognitive interpretation of self-motion.

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Acknowledgements

The authors thank Lorenzo Picinali for fruitful discussions. This work is supported by the EPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology (EP/L01632X/1). I. Farkhatdinov was partially supported by the UK EPSRC grant NCNR EP/R02572X/1.

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Correspondence to Francesco Soave .

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Soave, F., Bryan-Kinns, N., Farkhatdinov, I. (2020). A Preliminary Study on Full-Body Haptic Stimulation on Modulating Self-motion Perception in Virtual Reality. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2020. Lecture Notes in Computer Science(), vol 12242. Springer, Cham. https://doi.org/10.1007/978-3-030-58465-8_34

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  • DOI: https://doi.org/10.1007/978-3-030-58465-8_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58464-1

  • Online ISBN: 978-3-030-58465-8

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