Industrial Augmented Reality: Lessons learned from a long-term On-site Assessment of Augmented Reality Maintenance Worker Support Systems

被引:3
|
作者
Lorenz, Mario [1 ,2 ,3 ]
Knopp, Sebastian [1 ,3 ]
Brade, Jennifer [1 ]
Klimant, Philipp [1 ]
Dix, Martin [1 ]
机构
[1] Tech Univ Chemnitz, Inst Machine Tools & Prod Proc, Chemnitz, Germany
[2] Univ Hosp Leipzig, Dept Orthoped Trauma & Plast Surg, Leipzig, Germany
[3] Med Univ Graz, Dept Macroscop & Clin Anat, Graz, Austria
关键词
Augmented Reality; Evaluation; Deployment; Maintenance; Long-term Study;
D O I
10.1109/ISMAR-Adjunct57072.2022.00141
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Augmented Reality (AR) has ever since made big promises in terms of improving maintenance in industry. However, long-term on-site assessments of AR maintenance worker support systems do not exist. In cooperation with three industrial companies we developed two such systems and conducted a 14-month evaluation period. The lessons we learned from the pitfalls we ran into during this assessment period provide valuable insights for researchers and practitioners alike who want to deploy AR maintenance worker support systems to the shop floor.
引用
收藏
页码:678 / 681
页数:4
相关论文
共 48 条
  • [31] Assessment of video see-through smart glasses for augmented reality to support technicians during milking machine maintenance
    Sara, Gabriele
    Todde, Giuseppe
    Caria, Maria
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [32] Microscopic augmented-reality indicators for long-term live cell time-lapsed imaging
    Yun, Kyungwon
    Chung, Jungman
    Park, Yong
    Lee, Byungjoo
    Lee, Won Gu
    Bang, Hyunwoo
    ANALYST, 2013, 138 (11) : 3196 - 3200
  • [33] Assessment of video see-through smart glasses for augmented reality to support technicians during milking machine maintenance
    Gabriele Sara
    Giuseppe Todde
    Maria Caria
    Scientific Reports, 12
  • [34] Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial
    Li, Chong
    Song, Xinyu
    Chen, Shugeng
    Wang, Chuankai
    He, Jieying
    Zhang, Yongli
    Xu, Shuo
    Yan, Zhijie
    Jia, Jie
    Shull, Peter
    JMIR SERIOUS GAMES, 2021, 9 (04):
  • [35] Lessons Learned from Developing and Testing an Augmented Reality Application for Just-in-Time Information Delivery to Improve Construction Safety
    Lakshminarayanan, Krithikashree
    Patel, Mayank Arvindbhai
    Din, Zia
    Song, Lingguang
    PROCEEDINGS OF THE CANADIAN SOCIETY OF CIVIL ENGINEERING ANNUAL CONFERENCE 2022, VOL 1, CSCE 2022, 2023, 363 : 229 - 245
  • [36] Registration method for maintenance-work support based on augmented-reality-model generation from drawing data
    Lee, Won-Hyuk
    Lee, Kyung-Ho
    Lee, Jung-Min
    Nam, Byeong-Wook
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2020, 7 (06) : 775 - 787
  • [37] An Iterative Participatory Design Approach to Develop Collaborative Augmented Reality Activities for Older Adults in Long-Term Care Facilities
    Ullal, Akshith
    Tauseef, Mahrukh
    Watkins, Alexandra
    Juckett, Lisa
    Maxwell, Cathy
    Tate, Judith
    Mion, Lorraine C.
    Sarkar, Nilanjan
    PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024), 2024,
  • [38] Using Virtual Augmented Reality to Remotely Proctor Overseas Surgical Outreach: Building Long-Term International Capacity and Sustainability
    Vyas, Raj M.
    Sayadi, Lohrasb Ross
    Bendit, David
    Hamdan, Usama S.
    PLASTIC AND RECONSTRUCTIVE SURGERY, 2020, 146 (05) : 622E - 629E
  • [39] Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception
    Han, Fei
    Siva, Sriram
    Zhang, Hao
    VIRTUAL, AUGMENTED AND MIXED REALITY: APPLICATIONS AND CASE STUDIES, VAMR 2019, PT II, 2019, 11575 : 47 - 62
  • [40] What, How, and Why are Visual Assets Used in Industrial Augmented Reality? A Systematic Review and Classification in Maintenance, Assembly, and Training (From 1997 to 2019)
    Gattullo, Michele
    Evangelista, Alessandro
    Uva, Antonio E.
    Fiorentino, Michele
    Gabbard, Joseph L.
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 28 (02) : 1443 - 1456