WEKIT Community Event at ECTEL 2017

The WEKIT team has organized and successfully conducted a community event at the 12th European Conference on Technology Enhanced Learning (EC-TEL) in Tallinn, Estonia on 12-15 September 2017.


The WEKIT Science and Technology director Dr Fridolin Wild, presented a keynote “Work 4.0: Performance Augmentation for Industry 4.0” to the audience of the Industry Track of the conference. This talk has become the highlight of event, covering the global trends of training and working in the industry and presenting the WEKIT platform as a means to facilitate performance augmentation and workplace training.

The slides of the keynote can be found online: https://www.slideshare.net/fridolin.wild/professional-tel-40-performance-augmentation-for-industry-40

The Industry Track at the ECTEL conference (http://industry-track.eu/) was running in parallel to the conference and attracted many European and local companies presenting their training solutions and technologies.

In addition, a joint article by the WEKIT community members has been presented by Alla Vovk (PAL, Oxford Brookes University).

Publication: Will Guest, Fridolin Wild, Alla Vovk, Mikhail Fominykh, Bibeg Limbu, Roland Klemke, Puneet Sharma, Carl H Smith, Jazz Rasool, Soyeb Aswat, Kaj Helin, Daniele Di Mitri, and Jan Schneider “Affordances for Capturing and Re-enacting Expert Performance with Wearables”. Download the full version at: Springer Link.

Abstract: The WEKIT.one prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display to the novice are of central significance here. We link affordances with hardware devices, discussing their alternatives, including Microsoft Hololens, Thalmic Labs MYO, Alex Posture sensor, MyndPlay EEG headband, and a heart rate sensor. Following the selection of sensors, we describe integration and communication requirements for the prototype. We close with thoughts on the wider possibilities for implementation and next steps.

You can watch the presentation in 360 with a Q&A session: https://www.facebook.com/mikhail.fominykh/videos/10213632882114937/