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Transforming industrial learning

A trans-European team of researchers is transforming industrial learning and training with the use of innovative Augmented Reality and Wearable Technology (AR/WT).

Wearable Experience for Knowledge Intensive Training (WEKIT) is a 2.7 million EURO research and innovation project funded by Horizon 2020, to develop and test a novel way of training using smart wearable technology within three years.

Dr Fridolin Wild, Senior Research Fellow at Oxford Brookes University and Principal Investigator and Scientific Director of the WEKIT Project said: “In the modern world, there tends to be a concern that technology is developing so rapidly that it will replace humans in the workplace.”

“WEKIT demonstrates that cutting-edge technology can actually help humans become better at work, quicker, less error-prone, more engaged and healthier.”

Using AR, WEKIT effectively brings textbooks to life using digital visual and audial information that overlay on the physical environment, for example in the form of animations. The WEKIT.one soft- and hardware system shows the trainee what to do through the eyes of the expert, allowing the trainee to learn by experience rather than simply reading about it or watching a video tutorial. It also allows an expert to create instructions easily – by capturing performance using WT.

Dr Wild continued: “Using augmented reality as a medium for learning and work is a powerful tool, particularly in high-skill settings which require the teaching or re-teaching, of complex manufacturing and engineering tasks after ‘Industry 4.0’.”

“Crucially, it also has the potential to have a positive impact on the time and costs of training large numbers of people.”

The new WEKIT.one AR system, involving the Hololens and other wearable devices, was recently put into action for the first time when it was tested with 142 experts and trainees at three separate organisations; in Tromsø, halfway to the North Pole in the Arctic circle, and in Turin and Genoa, Italy.

Throughout the trials, specially developed applications for both the experts and novices were used and feedback was collected to assess the suitability and acceptance of the system in three distinct scenarios:

The trainees and experts involved in the trial evaluated specific features of the prototype and the training approach, technology acceptance, system usability, user satisfaction of training with AR glasses and human-computer interface, and simulation sickness.

More information about WEKIT: http://www.wekit.eu

ENDS

For more information, please contact: Natalie Gidley, Communications Officer (Media Relations) at Oxford Brookes University on 01865 484452 or ngidley@brookes.ac.uk.

Notes to Editors

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