dc.contributor.author |
Rho, Edison |
|
dc.contributor.author |
Chan, Kenney |
|
dc.contributor.author |
Varoy, Elliot John |
|
dc.contributor.author |
Giacaman, Nasser |
|
dc.date.accessioned |
2022-05-17T01:24:30Z |
|
dc.date.available |
2022-05-17T01:24:30Z |
|
dc.date.issued |
2020-04-20 |
|
dc.identifier.citation |
(2020). IEEE Transactions on Learning Technologies, 13(3), 477-490. |
|
dc.identifier.issn |
1939-1382 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/59273 |
|
dc.description.abstract |
There is a pressing need for effective pedagogical methods of manual languages, as evident in the decline of manual languages, such as New Zealand Sign Language (NZSL). Despite being recognized as one of New Zealand's official languages, recent censuses have shown that fluent NZSL signers have been steadily decreasing. There is a cultural responsibility to preserve such languages, yet the combination of barriers to acquisition and the limited availability of effective teaching methods are standing in the way. In light of this, this article proposes a computer-assisted sign language learning system that incorporates virtual reality and validation-based feedback as tools to implement the experiential learning model. An implementation in the form of virtual reality NZSL is presented, targeting the set of NZSL alphabet. Results show that a vision-based classification method, using the Leap Motion controller, is a scalable, accurate, and usable solution for feedback-assisted manual language learning. A formative usability evaluation of $n=10$ participants showed promising results for engagement, confidence, and memory retention. The results indicate that virtual reality technology is uniquely situated as an innovative medium for the self-directed acquisition of manual languages. It is hoped this article inspires technology researchers to pursue collaborations with the deaf/Deaf community to design and develop pedagogical technology solutions for manual communication. |
|
dc.language |
English |
|
dc.publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
|
dc.relation.ispartofseries |
IEEE Transactions on Learning Technologies |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights |
© 2020 IEEE. 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. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ |
|
dc.subject |
Networking and Information Technology R&D |
|
dc.subject |
Science & Technology |
|
dc.subject |
Social Sciences |
|
dc.subject |
Technology |
|
dc.subject |
Computer Science, Interdisciplinary Applications |
|
dc.subject |
Education & Educational Research |
|
dc.subject |
Computer Science |
|
dc.subject |
Educational technology |
|
dc.subject |
neural networks |
|
dc.subject |
sign language |
|
dc.subject |
virtual reality (VR) |
|
dc.subject |
TECHNOLOGY USE |
|
dc.subject |
LANGUAGE |
|
dc.subject |
MOTIVATION |
|
dc.subject |
FRAMEWORK |
|
dc.subject |
0806 Information Systems |
|
dc.subject |
1005 Communications Technologies |
|
dc.subject |
1303 Specialist Studies in Education |
|
dc.title |
An Experiential Learning Approach to Learning Manual Communication Through a Virtual Reality Environment |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.1109/tlt.2020.2988523 |
|
pubs.issue |
3 |
|
pubs.begin-page |
477 |
|
pubs.volume |
13 |
|
dc.date.updated |
2022-04-13T09:48:12Z |
|
dc.rights.holder |
Copyright: IEEE |
en |
pubs.author-url |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000571741000003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d |
|
pubs.end-page |
490 |
|
pubs.publication-status |
Published |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
|
pubs.subtype |
Journal |
|
pubs.elements-id |
818109 |
|
pubs.org-id |
Engineering |
|
pubs.org-id |
Department of Electrical, Computer and Software Engineering |
|
dc.identifier.eissn |
1939-1382 |
|
pubs.number |
3 |
|
pubs.record-created-at-source-date |
2022-04-13 |
|