Kerdegari, H., Kim, T.J. and Prescott, Y. (2016) Head-mounted Sensory Augmentation Device: Comparing Haptic and Audio Modality. In: Biomimetic and Biohybrid Systems. Living Machines 2016, July 20-22nd 2016, Edinburgh, UK. Lecture Notes in Computer Science, 9793 . Springer International Publishing , pp. 107-118. ISBN 978-3-319-42416-3
Abstract
This paper investigates and compares the effectiveness of haptic and audio modality for navigation in low visibility environment using a sensory augmentation device. A second generation head-mounted vibrotactile interface as a sensory augmentation prototype was developed to help users to navigate in such environments. In our experiment, a subject navigates along a wall relying on the haptic or audio feedbacks as navigation commands. Haptic/audio feedback is presented to the subjects according to the information measured from the walls to a set of 12 ultrasound sensors placed around a helmet and a classification algorithm by using multilayer perceptron neural network. Results showed the haptic modality leads to significantly lower route deviation in navigation compared to auditory feedback. Furthermore, the NASA TLX questionnaire showed that subjects reported lower cognitive workload with haptic modality although both modalities were able to navigate the users along the wall.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Springer International Publishing Switzerland. 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. |
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: | 02 Jun 2016 15:43 |
Last Modified: | 03 Nov 2016 00:25 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-42417-0_11 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-42417-0_11 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100433 |