Oyekan, J., Prabhu, V., Tiwari, A. et al. (3 more authors) (2019) A knowledge capture framework for remote collaborative virtual environments. In: Jin, Y. and Price, M., (eds.) Advances in Manufacturing Technology XXXIII. 17th International Conference on Manufacturing Research (ICMR 2019), 10-12 Sep 2019, Belfast, UK. Advances in Transdisciplinary Engineering (9). IOS Press , pp. 446-451. ISBN 9781643680088
Abstract
Due to globalization, the need for geographically separated teams to collaborate on engineering tasks and learn from each other has increased. As a result, being able to observe and hence understand the actions of others in collaborative sessions is very important because it enables the users to work towards a common task’s goal. In this work, we propose and develop a novel collaborative knowledge framework that can be used to achieve a common task understanding during remote collaborative tasks. The collaborative knowledge framework provides playback and reuse facilities to enable the storage of knowledge elements (i.e. utterances, manipulations of shared representations, documents accessed during a collaborative session) as well as their recall in future engineering tasks. We validate the framework using an automotive use case.
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 The authors and IOS Press. This is an author-produced version of a paper subsequently published in ICMR 2019 Proceedings. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Remote collaboration; Knowledge framework; Virtual Reality; Gaming devices |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Apr 2021 11:49 |
Last Modified: | 07 Apr 2021 11:49 |
Published Version: | https://ebooks.iospress.nl/volumearticle/52648 |
Status: | Published |
Publisher: | IOS Press |
Series Name: | Advances in Transdisciplinary Engineering |
Refereed: | Yes |
Identification Number: | 10.3233/ATDE190078 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172661 |