In this chapter, we present a conceptual reference framework for designing augmented reality ap-plications 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 train-ing. 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 cur-rent progress in developing this framework.
Limbu, B., Fominykh, M., Klemke, R., Specht, M., & Wild, F. (2018). Supporting Training of Expertise with Wearable Technologies: The WEKIT Reference Framework (pp. 157–175). https://doi.org/10.1007/978-981-10-6144-8_10