Training transfer of bimanual assembly tasks in cost-differentiated virtual reality systems

Shen, S; Chen, HT; Leong, TW

Training transfer of bimanual assembly tasks in cost-differentiated virtual reality systems

Shen, S Chen, HT Leong, TW

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, 2019, pp. 1152-1153
Issue Date:: 2019-03-01

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Field	Value	Language
dc.contributor.author	Shen, S
dc.contributor.author	Chen, HT
dc.contributor.author	Leong, TW
dc.date	2019-03-23
dc.date.accessioned	2020-06-12T23:52:09Z
dc.date.available	2020-06-12T23:52:09Z
dc.date.issued	2019-03-01
dc.identifier.citation	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, 2019, pp. 1152-1153
dc.identifier.isbn	9781728113777
dc.identifier.uri	http://hdl.handle.net/10453/141396
dc.description.abstract	© 2019 IEEE. Recent advances of the affordable virtual reality headsets make virtual reality training an economical choice when compared to traditional training. However, these virtual reality devices present a range of different levels of virtual reality fidelity and interactions. Few works have evaluated their validity against the traditional training formats. This paper presents a study that compares the learning efficiency of a bimanual gearbox assembly task among traditional training, virtual reality training with direct 3D inputs (HTC VIVE), and virtual reality training without 3D inputs (Google Cardboard). A pilot study was conducted and the result shows that HTC VIVE brings the best learning outcomes.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
dc.relation.ispartof	26th IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
dc.relation.isbasedon	10.1109/VR.2019.8797917
dc.rights	© 2019 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.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Training transfer of bimanual assembly tasks in cost-differentiated virtual reality systems
dc.type	Conference Proceeding
utslib.location.activity	Osaka, JAPAN
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-12T23:52:05Z
pubs.finish-date	2019-03-27
pubs.publication-status	Published
pubs.start-date	2019-03-23

Abstract:

© 2019 IEEE. Recent advances of the affordable virtual reality headsets make virtual reality training an economical choice when compared to traditional training. However, these virtual reality devices present a range of different levels of virtual reality fidelity and interactions. Few works have evaluated their validity against the traditional training formats. This paper presents a study that compares the learning efficiency of a bimanual gearbox assembly task among traditional training, virtual reality training with direct 3D inputs (HTC VIVE), and virtual reality training without 3D inputs (Google Cardboard). A pilot study was conducted and the result shows that HTC VIVE brings the best learning outcomes.

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http://hdl.handle.net/10453/141396