Fakhoury, E, Culmer, P orcid.org/0000-0003-2867-0420 and Henson, B orcid.org/0000-0003-0933-1722 (2018) The impact of visual cues on haptic compliance discrimination using a pseudo-haptic robotic system. In: Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics. 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 05-08 Dec 2017, Macau, China. IEEE , pp. 1719-1725. ISBN 978-1-5386-3742-5
Abstract
A psychophysical magnitude estimation experiment was set up to determine the extent of the contribution of visual feedback during haptic compliance discrimination. Subjects remotely palpated physical compliant samples using a novel pseudo-haptic feedback system which allowed for independent manipulation of visual and haptic feedback. Subjects were asked to rate the compliance of a test sample based on that of a reference sample. While visual feedback was modified by switching the physical test samples shown to participants during indentation, haptic compliance of the test samples was always identical to that of the reference sample. Any variations in haptic sensation was a result of pseudo-haptic illusions. Ratings were collated and fitted to Steven's power law as well as Weber's law. A 0.18 power exponent suggests that the system was successful in generating viscoelastic properties through variations in visual information only. A 19.6% visual change from the reference compliance was necessary in order to perceive a change in haptic compliance using the pseudo-haptic system. These findings could prove beneficial in research and educationalfacilities where advanced force feedback devices are limited or inaccessible, where the concept of pseudo-haptics could be used to simulate various mechanical properties of virtual tissue for training purposes without the needfor complicated or costly force feedback.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. This is an author produced version of a paper published in Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Visualization; Robots; Force; Springs; Force feedback; Task analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Dec 2018 11:47 |
Last Modified: | 08 Dec 2018 06:29 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ROBIO.2017.8324666 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139661 |