Using sensor-based technology to capture expert performance and to support expertise development

Description

This PhD project explores the capturing and training of expert performance using Augmented Reality, Sensors and Wearable Technology. The project focuses on understanding the underlying mechanisms involved in capturing expert performance from an expert in a complex task in order to support modelling of the complex task by theapprentice. We propose a multisensory approach to capture the expert performance which would then allow the apprentice to perceive the expert demonstration in a rich manner. We will also explore methods to use expert performance data to mentor the apprentice following a cognitive apprentice model.

Period	Mar 2017
Degree of Recognition	Local