Title
Comparing Different Augmented Reality Support Applications for Cooperative Repair of an Industrial Robot
Abstract
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.
Year
DOI
Venue
2018
10.1109/ISMAR-Adjunct.2018.00036
2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Keywords
Field
DocType
Task analysis,Maintenance engineering,Resists,Visualization,Augmented reality,Service robots
Technician,Digitization,Task analysis,Computer science,Visualization,Augmented reality,Industrial robot,Mixed reality,Multimedia,Maintenance engineering
Conference
ISBN
Citations 
PageRank 
978-1-5386-7592-2
2
0.42
References 
Authors
0
7
Name
Order
Citations
PageRank
Doris Aschenbrenner164.53
Michael Rojkov220.42
Florian Leutert320.42
Jouke Verlinden4185.28
stephan lukosch5229.85
Marc Erich Latoschik651576.83
Klaus Schilling710524.41