Abstract
With emerging technologies, research is increasingly focusing on the digitalization of the working world and the resulting potentials, but also risks, for employees. People and technology are beginning to grow together in industrial environments. New technologies can support skills and improve results of the daily work, but the most important factor is still the human being. Assistance systems based on Augmented Reality (AR) are increasingly attract the attention of companies. Currently, there are not many implementation reports and applications in companies. This paper discusses the findings based on observations from industrial site inspections in the areas of training, commissioning of goods, and the manual assembly process. Inspections took place at three pioneering companies in the automotive industry, online distance selling, and the energy sector. When it comes to the use of assistance systems, the main goals of these companies that are very open to innovation are to improve efficiency and quality, e.g., minimize errors and optimize speed. Qualitative content analysis was used to evaluate the interview transcripts, the collected transcripts and notes from the guided tours, and the brief participations in these industries. The results are presented in the form of user experiences with AR addressing their advantages and disadvantages in the context of use. In addition, these were categorized into a predefined classification of influencing factors and challenges.
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References
Bauer, D., Wutzke, R., Bauernhansl, T.: Wear@Work – a new approach for data acquisition using wearables. Procedia CIRP 50, 529–534 (2016). https://doi.org/10.1016/j.procir.2016.04.121
Berkemeier, L., McGuire, M.-R., Steinmann, S., Niemöller, C., Thomas, O.: Datenschutz-rechtliche anforderungen an smart glasses-basierende informationssysteme in der logistik. In: Eibl, M., Gaedke, M. (eds.) INFORMATIK 2017, vol. P-275, pp. 1037–1048. Gesellschaft für Informatik, Bonn (2017)
Blattgerste, J., Renner, P., Pfeiffer, T.: Augmented reality action assistance and learning for cognitively impaired people: a systematic literature review. In: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp. 270–279. ACM, New York (2019)
Friedrich, W.: ARVIKA - augmented reality for development, production and service. Zeitschrift für interaktive und kooperative Medien – ICOM 2(2), 3–4 (2002)
Funk, M.: Augmented reality at the workplace: a context-aware assistive system using in-situ projection (Dissertation). Universität Stuttgart (2016). https://pdfs.semanticscholar.org/a7d8/f8c5543716e889b1c7ce5643df6a9d09ab24.pdf. Accessed 13 Apr 2018
Guo, A., Wu, X., Shen, Z., Starner, T., Baumann, H., Gilliland, S.: Order picking with head-up displays. Computer 6(48), 16–24 (2015). https://doi.org/10.1109/MC.2015.166
Hinrichsen, S., Riediger, D., Unrau, A.: Development of a projection-based assistance system for maintaining injection molding tools. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2017), pp. 1571–1575. IEEE, Singapore (2017). https://doi.org/10.1109/ieem.2017.8290157
Hobert, S., Schumann, M.: Enabling the adoption of wearable computers in enterprises – results of analyzing influencing factors and challenges in the industrial sector. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 4276–4285 (2017). https://doi.org/10.24251/hicss.2017.518
Hold, P., Erol, S., Reisinger, G., Sihn, W.: Planning and evaluation of digital assistance systems. Procedia Manuf. 12(9), 143–150 (2017). https://doi.org/10.1016/j.promfg.2017.04.024
Huck-Fries, V., Wiegand, F., Klinker, K., Wiesche, M., Krcmar, H.: Datenbrillen in der Wartung. In: Eibl, M., Gaedke, M. (eds.) INFORMATIK 2017, pp. 1413–1424. Gesellschaft für Informatik, Bonn (2017)
Liu, H., Wang, L.: An AR-based worker support system for human-robot collaboration. Procedia Manufact. 9(11), 22–30 (2017). https://doi.org/10.1016/j.promfg.2017.07.124
Liu, Y., Li, S., Wang, J., Zeng, H., Lu, J.: A computer vision-based assistant system for the assembly of narrow cabin products. Int. J. Adv. Manufact. Technol. 8(76), 281–293 (2015). https://doi.org/10.1007/s00170-014-6274-9
Nee, A., Ong, S.K., Chryssolouris, G., Mourtzis, D.: Augmented reality applications in design and manufacturing. CIRP Ann. Manufact. Technol. 12(61), 657–679 (2012). https://doi.org/10.1016/j.cirp.2012.05.010
Regenbrecht, H., Baratoff, G., Wilke, W.: Augmented reality projects in the automotive and aerospace industries. IEEE Comput. Graph. Appl. 11(25), 48–56 (2005). https://doi.org/10.1109/MCG.2005.124
Schlagowski, R., Merkel, L., Meitinger, C.: Design of an assistant system for industrial maintenance tasks and implementation of a prototype using augmented reality. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 294–298. IEEE, Singapore (2017). https://doi.org/10.1109/ieem.2017.8289899
Spath, D., Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., Schlund, S.: Produktionsarbeit der Zukunft – Industrie 4.0. Fraunhofer-Verlag, Stuttgart (2013)
Stocker, A., Brandl, P., Michalczuk, R., Rosenberger, M.: Mensch-zentrierte IKT-Lösungen in einer Smart Factory. Elektrotechnik & Informationstechnik 10(131), 207–211 (2014)
Wang, X., Ong, S.K., Nee, A.: A comprehensive survey of augmented reality assembly research. Adv. Manufact. 1(4), 1–22 (2016). https://doi.org/10.1007/s40436-015-0131-4
Acknowledgement
The research project “Healthy work in Pioneering Industries” was supported by the German Federal Ministry of Education and Research (BMBF) under the grant number 02L14A073.
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Semm, A., Erfurth, C., Uslu, S. (2021). Potentials of Augmented Reality – Insights into Industrial Practice. In: Krieger, U.R., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2021. Communications in Computer and Information Science, vol 1404. Springer, Cham. https://doi.org/10.1007/978-3-030-75004-6_8
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