An augmented reality job performance aid for kinaesthetic learning in manufacturing work places

Wild, F; Scott, P; Karjalainen, J; Helin, K; Lind-Kohvakka, S; Naeve, A

An augmented reality job performance aid for kinaesthetic learning in manufacturing work places

Wild, F Scott, P

Karjalainen, J Helin, K Lind-Kohvakka, S Naeve, A

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8719 LNCS pp. 470 - 475
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Wild, F	en_US
dc.contributor.author	Scott, P https://orcid.org/0000-0001-5944-9361	en_US
dc.contributor.author	Karjalainen, J	en_US
dc.contributor.author	Helin, K	en_US
dc.contributor.author	Lind-Kohvakka, S	en_US
dc.contributor.author	Naeve, A	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8719 LNCS pp. 470 - 475	en_US
dc.identifier.isbn	9783319111995	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121143
dc.description.abstract	Manufacturing - as the name already suggests - is an area where novel 'learning by doing' approaches can help tackle the skills gap this industry is currently facing at large. Within this contribution, we apply human-centred design methodology to help overcome two significant 'teething problems' for augmented reality. We propose five use cases for the application of learning technology on- and off-the-job and we show how these use cases can be implemented in an augmented reality based job performance aid, which we subsequently test on a real life story board in the furniture industry. © 2014 Springer International Publishing Switzerland.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-11200-8_44	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	An augmented reality job performance aid for kinaesthetic learning in manufacturing work places	en_US
dc.type	Conference Proceeding
utslib.citation.volume	8719 LNCS	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	8719 LNCS	en_US

Abstract:

Manufacturing - as the name already suggests - is an area where novel 'learning by doing' approaches can help tackle the skills gap this industry is currently facing at large. Within this contribution, we apply human-centred design methodology to help overcome two significant 'teething problems' for augmented reality. We propose five use cases for the application of learning technology on- and off-the-job and we show how these use cases can be implemented in an augmented reality based job performance aid, which we subsequently test on a real life story board in the furniture industry. © 2014 Springer International Publishing Switzerland.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121143