ADaptive Augmented Reality based Assistance System (ADARAS)

Augmented Reality (AR) has been proposed as a means of assisting technicians tasked with maintaining weapons platforms. Despite its various benefits, the effectiveness of AR as a means of improving performance dictates that the traditional challenges associated with scene recognition and information presentation be addressed. Hence, we propose to design and demonstrate the feasibility of the ADaptive Augmented Reality based Assistance System (ADARAS), which utilizes unique scene recognition capabilities coupled with customized information presentation techniques to significantly improve the troubleshooting capabilities of the junior maintainer. ADARAS uses intelligent agents to customize the information presented in AR space, which maximizes the utility and effectiveness of the presented information based on the cognitive limitations and learning capacity of the individual maintainer. The proposed system also encompasses unique scene recognition algorithms that jointly work to ensure that the maintainer’s attention is allocated to the relevant problem space thereby maximizing the probability of success.