AUTHOR=Gonzalez-Franco Mar , Pizarro Rodrigo , Cermeron Julio , Li Katie , Thorn Jacob , Hutabarat Windo , Tiwari Ashutosh , Bermell-Garcia Pablo TITLE=Immersive Mixed Reality for Manufacturing Training JOURNAL=Frontiers in Robotics and AI VOLUME=4 YEAR=2017 URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2017.00003 DOI=10.3389/frobt.2017.00003 ISSN=2296-9144 ABSTRACT=

In complex manufacturing a considerable amount of resources is focused on training workers and developing new skills. Increasing the effectiveness of those processes and reducing the investment required is an outstanding issue. In this paper, we present an experiment (n = 20) that shows how modern metaphors such as collaborative mixed reality can be used to transmit procedural knowledge and could eventually replace other forms of face-to-face training. We implemented a mixed reality setup with see-through cameras attached to a Head-Mounted Display. The setup allowed for real-time collaborative interactions and simulated conventional forms of training. We tested the system implementing a manufacturing procedure of an aircraft maintenance door. The obtained results indicate that performance levels in the immersive mixed reality training were not significantly different than in the conventional face-to-face training condition. These results and their implications for future training and the use of virtual reality, mixed reality, and augmented reality paradigms in this context are discussed in this paper.