Högskolan i Skövde

Customers are becoming more and more individualistic, products are getting more variation and the global market drives for shorter lifecycles for products. The industry is introducing more robots but even though they become more flexible there is still a need for human workers. Fenceless robots and new standards in robotics have made it possible for humans and robots to directly collaborate, allowing them to complement each other with their respective strengths. But how can humans keep up with the increased need for learning new products while collaborating with robots?Studies in using Augmented Reality (AR) show that it might help workers to perform complex operations more efficiently.AR can spatially orient information and thereby present it in context to reality. But AR in actual industrial assembly is still in its infancy, there is a lack of general AR implementations as most AR is done for specific cases and there is still little knowledge about how to generally design AR-based interfaces efficiently.This project aims to explore how AR is most efficiently used in industrial engine assembly. It focuses on cases with Human-Robot Collaboration since the current trend is clear that this will be very common in the future. The goal is to find basic design guidelines for how to best present information to workers; when to present it, what to present and how to present it.Industry representatives will help in creating an evaluation-framework that is relevant for real situations. The guidelines will be iteratively evaluated with this evaluation-framework and designed through the methodology of design science. The goal of this research project is to contribute with a framework for how to evaluate AR-based operator instructions and design guidelines that creates generally more efficient instructions for operators.