Cash, H. and Prescott, T.J. orcid.org/0000-0003-4927-5390 (2019) Improving the visual comfort of virtual reality telepresence for robotics. In: Salichs, M.A., Ge, S.S., Barakova, E.I., Cabibihan, J.-J., Wagner, A.R., Castro-González, A. and He, H., (eds.) Social Robotics. ICSR 2019: International Conference on Social Robotics, 26-29 Nov 2019, Madrid, Spain. Lecture Notes in Computer Science (11876). Springer International Publishing , pp. 697-706. ISBN 9783030358877
Abstract
Telepresence technologies enable users to exhibit a presence in a remote location, through the use of sensors, networks and robotics. State-of-the-art telepresence research swaps conventional desktop monitors for Virtual Reality (VR) headsets, in order to increase the user’s immersion in the remote environment, though often at the cost of increased nausea and oculomotor discomfort. We describe a novel method for telepresence via VR, aimed at improving comfort, by accounting for discrepancies between robot and user head pose. This is achieved through a “decoupled” image projection technique, whereby the user is able to look across captured imagery rendered to a virtual display plane. Evaluated against conventional projection techniques, in a controlled study involving 19 participants, decoupled image projection significantly reduced mean perceived nausea and oculomotor discomfort while also improving immersiveness and the perceived sensation of presence.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 Springer Nature. This is an author-produced version of a paper subsequently published in ICSR 2019. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Robot telepresence; Virtual reality; Visual comfort |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Dec 2019 09:58 |
Last Modified: | 17 Nov 2020 01:39 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-35888-4_65 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154067 |