Innovating Works

WEKIT

Financiado
Wearable Experience for Knowledge Intensive Training
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 ind... 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’. ver más
28/02/2019
GFT
3M€
Duración del proyecto: 39 meses Fecha Inicio: 2015-11-10
Fecha Fin: 2019-02-28

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2019-02-28
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ICT-20-2015: Technologies for better human learning and teaching
Cerrada hace 9 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
GFT ITALIA SRL No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5