TY - JOUR
T1 - Creating an Open-Source Augmented Reality Remote Support Tool for Industry
T2 - 2nd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2020
AU - Aschauer, Andrea
AU - Reisner-Kollmann, Irene
AU - Wolfartsberger, Josef
N1 - Funding Information:
This work was funded by the Austrian Research Promotion Agency (FFG) under the project Mixed Reality Based Collaboration 4 Industry (FFG Collective Research).
Publisher Copyright:
© 2021 Elsevier B.V.. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Remote support tools offer great savings potential for maintenance work and simplify communication between on-site workers and remote experts in the back-office. Despite the predicted benefits and the existence of an increasing number of commercial augmented reality (AR) remote support tools, the technology still struggles with various challenges, mainly caused by technical limitations, safety concerns or industry-specific constraints. In this paper, we describe the implementation of an open source AR remote support application with a strong industry focus. The software was developed based on the feedback of four industry partners with different needs in the field of maintenance work. Therefore, we set the focus on configurability to provide the right tools for each use case. The developed remote support tool was then compared with traditional support measures in a user study. This paper presents the lessons learned from the expert discussions with our company partners and the results of the user study.
AB - Remote support tools offer great savings potential for maintenance work and simplify communication between on-site workers and remote experts in the back-office. Despite the predicted benefits and the existence of an increasing number of commercial augmented reality (AR) remote support tools, the technology still struggles with various challenges, mainly caused by technical limitations, safety concerns or industry-specific constraints. In this paper, we describe the implementation of an open source AR remote support application with a strong industry focus. The software was developed based on the feedback of four industry partners with different needs in the field of maintenance work. Therefore, we set the focus on configurability to provide the right tools for each use case. The developed remote support tool was then compared with traditional support measures in a user study. This paper presents the lessons learned from the expert discussions with our company partners and the results of the user study.
KW - augmented reality
KW - remote support
KW - smart maintenance
UR - http://www.scopus.com/inward/record.url?scp=85101738524&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.01.164
DO - 10.1016/j.procs.2021.01.164
M3 - Conference article
AN - SCOPUS:85101738524
VL - 180
SP - 269
EP - 279
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 23 November 2020 through 25 November 2020
ER -