Exploring training modes for industrial augmented reality learning

Abstract

In this paper, we present a conceptual approach and the first prototype of a mobile training system to provide non-expert users with helpful information about the functionality of complex automated industrial systems. The system uses an augmented reality (AR) tablet application to visualize information about internal processes, sensor states, settings and hidden parts of a production system directly in the field of view of a user. The available information can be accessed via four different methods which combine elements of step-by-step tutorials and open exploration. Our prototype aims to support users to better understand automated systems. While such systems will become more complex in future, we believe that augmented reality is a key concept that could help humans to better understand and experience automated systems and its consequences in general.