Mirage·XR is a reference implementation of an XR training system. Mirage·XR enables experts and learners to share experience via XR and wearables using ghost tracks, realtime feedback, and anchored instruction.
Slipping on a pair of smart glasses can give you superpowers in the workplace, superimposing procedural guides and operational data directly where you need it. Extended Reality (XR) can teach you in minutes all you need to know for complex, knowledge-intensive tasks, such as how to service the nose-wheel of an airplane, how to operate an ultrasound machine to obtain a healthcare diagnosis, or how to check and service a self-driving vehicle.
The MIRAGE·XR SOLUTIONS are the flagship products of WEKIT ECS, developed in response to real market needs, in consultation with industry and relevant communities, and based on state of the art research. MIRAGE·XR SOLUTIONS offer an all-in-one XR framework that is flexible and customisable for a broad range of industry and sector needs.
The Mirage·XR COMMUNITY EDITION (CE) is the is the B2B Open Source solution of the MIRAGE·XR platform. This reference implementation of an XR training system for complex work environments is offered ‘as is’ for the XR developer community to use, update, and further develop.
The Mirage·XR SOLUTIONS enable experts and learners to share experience via XR and wearables using ghost tracks, in-situ feedback, and anchored instruction. They offers six unique value adding features that are hard to emulate:
In-situ authoring and experience capture – reducing the time and resourcing for the production of training content. Mirage·XR offers a tool for creating content directly in XR, cheap and efficiently. It allows both the placing of previously imported media content into physical spaces (and into step-by-step guides) and the ability to create content while performing tasks (e.g., ghost track).
Experiential approach – MIRAGE·XR implements an experiential learning approach. Trainees can follow a sequence of performing a task (guided by a holographic expert), reviewing their own performance, and performing the same or a similar task again.
Real-time visualisation and feedback – holographic representation of the expert reconstructed from the captured data (‘ghost track’) and embedded in the physical workplace, including body position, gaze direction, gestures, and voice.
Open standards and architecture – The MIRAGE·XR core is adaptable to different platforms, IoT sensors, and wearables to suit the training needs of any organisation. It implements the IEEE P1589-2020 standard for augmented reality learning experience models, which allows for the automated extraction and transformation of content from legacy systems (such as, e.g., an Oasis DITA or S1000D compliant technical documentation system) – compatible with an ecosystem of tools, future proofing your content, to the highest, approved standard.
Cognitive methods in performance measurement – Mirage·XR supports established Cognitive Science research methodologies such as cognitive task analysis to predict or identify errors or suggest improved or corrective practice. After a training session, performance analysis can be prepared from the measured data, stored via the interface with the IEEE Experience API (xAPI).
Scientifically validated method – the MIRAGE·XR Open Source core is based on project results of the Horizon 2020 project WEKIT, validated in two waves with over 550 participants in pilot trials in medicine, aviation, and space.
Mirage·XR provides enhanced, location-based experience for learners with the promise to get access to expert knowledge faster, better, and more engaging than ever before. Better engagement means more effective education and training which translates real social and economic benefits to the market.
Mirage·XR has received funding from the European Union’s Horizon 2020 research and innovation programme through the XR4ALL project with grant agreement No 825545.
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