D3.4 Requirement Analysis and Sensor Specifications – final version

In this deliverable, we take into account the results from first set of trials associated with the first wave of the WEKIT prototype (from D3.2 “Hardware prototype with component specification and usage description” and D3.3 “Software Prototype with Sensor Fusion API Specification and Usage Description”). Based on the results and discussions in a technical workshop at Heerlen (November 2017), we propose a final set of requirements and provide an overview of a set of sensors that can be used to meet the requirements and needs of this project.

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D7.3 Outreach and Dissemination Report 2

This Deliverable presents stakeholder community events and activities, further development and usage of WEKIT portal, as well as dissemination outcomes in the period of the second year of the project. Following the development of the first WEKIT prototype and its usage in the trials , the dissemination activities gained momentum by the available materials such as pictures, videos and further media that could be distributed on the WEKIT community webpage as well as the social media outlets of WEKIT.

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D4.2 Guidelines for Information Adaptation to Multi-device Presentation

The WEKIT Deliverable 4.2 “Guidelines for Information Adaptation to Multi-device Presentation” has been refocusing to give guidelines mainly to Microsoft HoloLens and high-light experience of multi-device presentation from previous Augmented Reality (AR) projects and applications. This refocusing was agreed in the first review as project has selected Microsoft HoloLens as main visualization and user interface device in D3.2 “Hardware prototype with component specification and usage description”. In addition, the first trials results show that HoloLens 3D user interface should be improved, and test subjects had difficulties finding symbols and other elements of the application.

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Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference Framework

Authors: Bibeg Limbu, Mikhail Fominykh, Roland Klemke, Marcus Specht and Fridolin Wild
Type: Book chapter
SourceMobile and Ubiquitous Learning
Publisher: Springer, Singapore
Date: 18 November, 2017

Abstract: In this chapter, we present a conceptual reference framework for designing augmented reality applications for supporting training. The framework leverages the capabilities of modern augmented reality and wearable technology for capturing the expert’s performance in order to support expertise development. It has been designed in the context of Wearable Experience for Knowledge Intensive Training (WEKIT) project which intends to deliver a novel technological platform for industrial training. The framework identifies the state-of-the-art augmented reality training methods, which we term as “transfer mechanisms” from an extensive literature review. Transfer mechanisms exploit the educational affordances of augmented reality and wearable technology to capture the expert performance and train the trainees. The framework itself is based upon Merrienboer’s 4C/ID model which is suitable for training complex skills. The 4C/ID model encapsulates major elements of apprenticeship models which is a primary method of training in industries. The framework complements the 4C/ID model with expert performance data captured with help of wearable technology which is then exploited in the model to provide a novel training approach for efficiently and effectively mastering the skills required. In this chapter, we will give a brief overview of our current progress in developing this framework.

D1.6 Requirements for Scenarios and Prototypes – second version

In this deliverable, we present the outcomes of the follow-up activities of the trials concerning the collection of new requirements. We particularly highlight emerged demands in the areas of usability and analytics. The results are prioritized using the Requirements Bazaar methodology and tool. They are currently fed into the development process by WP2. WP6 is using the outcomes of this deliverables to improve the execution of the next planned trials. The final iteration of this report will be released in the last month of the project.

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