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.
CITATION STYLE
Wild, F., Scott, P., Karjalainen, J., Helin, K., Lind-Kohvakka, S., & Naeve, A. (2014). An augmented reality job performance aid for kinaesthetic learning in manufacturing work places. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8719 LNCS, pp. 470–475). Springer Verlag. https://doi.org/10.1007/978-3-319-11200-8_44
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