Record #568592 - RWTH Publications

WEKIT

Wearable Experience for Knowledge Intensive Training

Coordinator	TEKNOLOGIAN TUTKIMUSKESKUS VTT ; GFT ITALIA SRL ; RAVENSBOURNE ; Open University in the Netherlands ; UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET ; EUROPLAN UK LTD ; The Open University ; Oxford Brookes University ; Clear Communication Associates ; RWTH Aachen University ; LUFTTRANSPORT AS ; EBIT S.R.L. ; MYNDPLAY LTD ; AEROSPACE LOGISTICS TECHNOLOGY ENGINEERING COMPANY SPA
Grant period	2015-12-01 - 2019-02-28
Funding body	European Union
Call number	H2020-ICT-2015
Grant number	687669
Identifier	G:(EU-Grant)687669

Note: OBJECTIVES: Build on multi-discipline research (e.g., human-centred methodology integrates cognitive models, ergonomics, understanding of worker’s well being) to accelerate how we identify, acquire and exploit skills valued by industry. Get high take-up by early adopters (e.g., in manufacturing). Augment training in situ with live expert guidance, a tacit learning experience and a re-enactment of the expert, in knowledge-intensive environments where effective decision making, often in new situations, has high impact on effectiveness in production. Bring learning content and technical documentation to life via task-sensitive Augmented Reality (AR). Make final products flexible for workplace integration via industry-standard repositories and toolkits. HOW: Wearable TEL platform enhances human abilities to acquire procedural knowledge by providing a smart system that directs attention to where it is most needed. An extensive audit of industry procedures, policies and participatory design methods will define the main facets of the platform. User test cycles will refine prototypes and deliverables. Existing wearable smart devices and sensors will be tailored to provide an innovative solution for content delivery and measurement of user performance. Comparative tests, stakeholders’ review and leading the IEEE AR group will secure high-standard academic and industrial outputs. RELEVANCE to work programme: WEKIT is strongly aligned with EU job/training policies (e.g., Grand Coalition for Digital Jobs). It enhances the industrial value chain, reduces fragmentation/cost and improves efficiencies with impact regarding speed and scale in production. Looking ahead: roadmap shows safe skill pathways for use of TEL in changing industrial landscapes (e.g. smart machine-to-machine (M2M) knowledge-sharing). Smarter products and services will improve workflows, enhancing (re)training of workers whose skill sets need upgrading after ‘Industry 4.0’.

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Dissertation / PhD Thesis Koren, I.RWTH* ; Jarke, M. (Thesis advisor)RWTH* ; Schuh, G. (Thesis advisor)RWTH* ; Klamma, R. (Thesis advisor)RWTH*
DevOpsUse: community-driven continuous innovation of web information infrastructures
Aachen 1 Online-Ressource (xiv,207 Seiten) : Illustrationen, Diagramme (2020) [10.18154/RWTH-2020-06868]2020 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2020 OpenAccess Files BibTeX | EndNote: XML, Text | RIS