Structured authoring for AR-based communication to enhance efficiency in remote diagnosis for complex equipment
Iñigo Fernández del Amo, John Ahmet Erkoyuncu, Rok Vrabič, Romain Frayssinet, Cristina Vazquez Reynel, Rajkumar Roy
Abstract
Remote diagnosis procedures are prone to communication errors due to varying levels of experience and knowledge between expert maintainers and technicians. These result in inefficiencies that delay the diagnosis process. The aim of the paper is to develop a Structured-Message Authoring framework for Augmented Reality (AR) Remote Communication (SMAARRC) and to evaluate its ability to enhance the efficiency of remote diagnosis services. The framework proposes a message structure and automatic AR content creation rules for it that enable data capture and sharing within a remote context. Laboratory experiments present an average time reduction of 56% for remote calls while maintaining same quality compared to traditional remote communication methods (phone calls and emails). Remote experts feedback evidence the usability and feasibility of this framework to work in real-life conditions.