Comparing Different Augmented Reality Support Applications for Cooperative Repair of an Industrial Robot

• Published in: 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) pp. 69 - 74
• Main Authors: Aschenbrenner, Doris, Rojkov, Michael, Leutert, Florian, Verlinden, Jouke, Lukosch, Stephan, Latoschik, Marc Erich, Schilling, Klaus
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2018
• Subjects: Augmented reality; Human-centered computing-Visualization- Visualization techniques- Treemaps; Human-centered computing-Visualization-Visualization design and evaluation methods; Maintenance engineering; Resists; Service robots; Task analysis; Visualization
• DOI: 10.1109/ISMAR-Adjunct.2018.00036

Digitization and the growing capabilities of data networks enable companies to perform tasks via remote support, which previously required service personnel to travel. But which mixed reality method leads to better results regarding human factors, grounding and performance criteria? This paper reports on a collaborative user study, in which a local worker is guided by a remote expert with the help of different augmented reality methods, specifically see-through HMD, spatial projection, and video-mixing tablet. The task to perform is the exchange of a controller in a switch cabinet of an industrial robot, a task rather typical for failure detection within the field. Our study was conducted in collaboration with a technician school, where 50 technician apprentices participated in our study. Our results show clear advantages of using augmented reality (AR) versus traditional conditions (audio, video, screenshot) to enable remote support. It further gives significant indications for using a projection based AR method.