Abstract
Nowadays, 75% of warehouses are operated manually with more than half of the costs caused by the process of order picking. To enhance efficiency various technical support systems are used. Recently, augmented reality applications gain great attention in operational processes in logistics. While most of them focus on the different process steps, there is a lack of research on the question how to employ augmented reality under consideration of cognitive ergonomics and related design principles. Making use of literature as well as empirical data gained in qualitative interviews with eleven order pickers, this research proposes designs for the user interfaces for three primal levels of order picking support to make the amount of available information controllable. Furthermore, three calibration options used to control the visualization of information are evaluated regarding usability and necessity. The results indicate that individual calibration of the interface is seen as crucial. Additionally, requirements for the primal support levels were directed towards a clear line-of-sight and presentation of additional order-related information.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cirulis, A., Ginters, E.: Augmented reality in logistics. Proc. Comput. Sci. 26, 14–20 (2013)
Schwerdtfeger, B., Reif, R., Günthner, W.A., Klinker, G.: Pick-by-vision: there is something to pick at the end of the augmented tunnel. Virtual Reality 15, 213–223 (2011)
Klinker, K., et al.: Structure for innovations: a use case taxonomy for smart glasses in service processes. In: Multikonferenz Wirtschaftsinformatik Lüneburg, Deutschland (2018)
Sarupuri, B., Lee, G. A., Billinghurst, M.: Using augmented reality to assist fork-lift operation. In: Proceedings of the 28th Australian Conference on Computer-Human Interaction, pp. 16–24. ACM (2016)
Ginters, E., Martin-Gutierrez, J.: Low cost augmented reality and RFID application for logistics items visualization. Proc. Comput. Sci. 26, 3–13 (2013)
Elbert, R., Knigge, J., Sarnow, T.: Transferability of order picking performance and training effects achieved in a virtual reality using head mounted devices. In: Preprints of the 16th IFAC Symposium on Information Control Problems in Manufacturing (2018)
Petersen, N., Stricker, D.: Cognitive augmented reality. Comput. Graph. 53, 82–91 (2015)
Wang, X., Dunston, P.S.: Compatibility issues in augmented reality systems for AEC: an experimental prototype study. Autom. Constr. 15, 314–326 (2006)
Renner, P., Pfeiffer, T.: Augmented reality assistance in the central field-of-view outperforms peripheral displays for order picking: results from a virtual reality simulation study (2017)
Hegarty, M.: The cognitive science of visual-spatial displays: implications for design. Topic Cogn. Sci. 3, 446–474 (2011)
Funk, M., Mayer, S., Nistor, M., Schmidt, A.: Mobile in-situ pick-by-vision: order picking support using a projector helmet. In: Proceedings of the 9th ACM International Conference on Pervasive Technologies Related to Assistive Environments (2016)
Kretschmer, V., Eichler, A., Spee, D., Rinkenauer, G.: Cognitive ergonomics in the intralogistics sector. In: Interdisciplinary Conference on Production, Logistics and Traffic, Darmstadt (2017)
Ruffieux, J., Keller, M., Lauber, B., Taube, W.: Changes in standing and walking performance under dual-task conditions across the lifespan. Sports Med. 45, 1739–1758 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Elbert, R., Sarnow, T. (2019). Augmented Reality in Order Picking—Boon and Bane of Information (Over-) Availability. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_61
Download citation
DOI: https://doi.org/10.1007/978-3-030-11051-2_61
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11050-5
Online ISBN: 978-3-030-11051-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)