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

Abstract

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 train expertise. It has been designed in the context of WEKIT project which intends to deliver a novel technological platform for industrial training. The framework identifies the state-of-art augmented reality training methods which we term as "transfer mechanism" 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 novice. The framework itself is based upon Merrienboer's 4CID model which is suitable for training complex skills. The 4CID model encapsulates major elements of apprenticeship models which is a primary method of training in industries. The framework itself complements the 4CID 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 master the skills required. In this chapter, we will give a brief overview of our current progress in developing this framework. Bibeg limbu:Bibeg limbu is currently a PhD student at Open University of Netherlands. He received his Master in Educational Technology from University of Saarland, Germany. He's a games, multimedia and instructional designer by education and is interested in researching expertise, Augmented Reality and Wearable Technology.Mikhail Fominykh: Mikhail Fominykh is an enthusiast, researcher, developer, and project manager in the field of Technology-Enhanced Learning. He currently is an associate professor at Molde University College (Norway), an adjunct professor at the Volga State University of Technology (Russia), and a project manager at Europlan-UK ltd (United Kingdom). In 2015, he started and coordinated a successful Horizon 2020 grant proposal which is now the WEKIT research project, developing training with augmented reality. Mikhail obtained his PhD at the Department of Computer and Information Science at the Norwegian University of Science and Technology, and later did a postdoc at the Program for Learning with ICT at the same university. He has experience in the area of technology-enhanced learning from working on several national and international R&D projects, developing successful grant proposals, developing educational simulators, courses, training programs, and their technological support. He published in several journals and books, and presented research findings at over 50 academic conferences. Roland Klemke: Prof. Dr. Roland Klemke is researcher at the Welten Institute of the Open University of the Netherlands. He leads national and international research projects in the TEL field. Research topics include serious gaming, mobile learning, augmented reality, open architectures, emerging standards, we...

User Satisfaction in Augmented Reality-Based Training Using Microsoft HoloLens

“…To capture an expert's experience, a set of transfer mechanisms were defined by Limbu et al [15]. The so-called transfer mechanisms allow us to map the key aspects of an expert's performance to low level data and subsequent sensors.…”

User Satisfaction in Augmented Reality-Based Training Using Microsoft HoloLens

“…In order to capture an expert's experience, a set of transfer mechanisms were defined in [15]. The so-called transfer mechanisms allow us to map the key aspects of an expert's performance to low level data and subsequent sensors.…”

Affordances for Capturing and Re-enacting Expert Performance with Wearables

“…If knowledge is stored in such learning activity, it can be re-experienced many times over, analysed, and reflected upon, individually or collaboratively [6,7]. AR then provides a rich multimodal and multisensory medium for apprentices to observe captured expert performance.…”

“…The WEKIT framework guides the sensor selection process [7] identifying affordances that allow the capture of specific key aspects of expert performance and provision of affordances to the trainees in re-enactment (Table 1). For each affordance, suitable technological solutions are considered together with the type of sensor that would need to be used.…”