Kerdegari, H., Kim, Y. and Prescott, T. (2015) Tactile Language for a Head-Mounted Sensory Augmentation Device. In: Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science (9222). , pp. 359-365. ISBN 978-3-319-22978-2
Abstract
Sensory augmentation is one of the most exciting domains for research in human-machine biohybridicity. The current paper presents the design of a 2nd generation vibrotactile helmet as a sensory augmentation prototype that is being developed to help users to navigate in low visibility environments. The paper outlines a study in which the user navigates along a virtual wall whilst the position and orientation of the user’s head is tracked by a motion capture system. Vibrotactile feedback is presented according to the user’s distance from the virtual wall and their head orientation. The research builds on our previous work by developing a simplified “tactile language” for communicating navigation commands. A key goal is to identify language tokens suitable to a head-mounted tactile interface that are maximally informative, minimize information overload, intuitive, and that have the potential to become ‘experientially transparent’
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Springer Verlag. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Sensory augmentation; Vibrotactile feedback; Tactile language |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Aug 2016 09:22 |
Last Modified: | 25 Oct 2016 14:47 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-22979-9_36 |
Status: | Published |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-22979-9_36 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100434 |