[POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study

Renner P, Pfeiffer T (2017)
In: ISMAR 2017. Nantes: IEEE.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
OA 824.58 KB
Projekt
Abstract / Bemerkung
One area in which glasses-based augmented reality (AR) is successfully applied in industry is order picking in logistics (pick-byvision). Here, the almost hands-free operation and the direct integration into the digital workflow provided by augmented reality glasses are direct advantages. A common non-AR guidance technique for order picking is pickby-light. This is an efficient approach for single users and low numbers of alternative targets. AR glasses have the potential to overcome these limitations. However, making a grounded decision on the specific AR device and the particular guidance techniques to choose for a specific scenario is difficult, given the diversity of device characteristics and the lack of experience with smart glasses in industry at larger scale. The contributions of the paper are twofold. First, we present a virtual reality (VR) simulation approach to ground design decisions for AR-based solutions and apply it to the scenario of order picking. Second, we present results from a simulator study with implemented simulations for monocular and binocular head-mounted displays and compared existing techniques for attention guiding with our own SWave approach and the integration of eye tracking. Our results show clear benefits for the use of pick-by-vision compared to pick-by-light. In addition to that, we can show that binocular AR solutions outperform monocular ones in the attention guiding task.
Stichworte
Augmented Reality; Order Picking; Virtual Reality Simulation
Erscheinungsjahr
2017
Titel des Konferenzbandes
ISMAR 2017
Konferenz
16th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Konferenzort
Nantes
Konferenzdatum
2017-10-09 – 2017-10-13
eISBN
978-0-7695-6327-5
Page URI
https://pub.uni-bielefeld.de/record/2913138

Zitieren

Renner P, Pfeiffer T. [POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study. In: ISMAR 2017. Nantes: IEEE; 2017.
Renner, P., & Pfeiffer, T. (2017). [POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study. ISMAR 2017 Nantes: IEEE. doi:10.1109/ISMAR-Adjunct.2017.59
Renner, P., and Pfeiffer, T. (2017). “[POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study” in ISMAR 2017 (Nantes: IEEE).
Renner, P., & Pfeiffer, T., 2017. [POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study. In ISMAR 2017. Nantes: IEEE.
P. Renner and T. Pfeiffer, “[POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study”, ISMAR 2017, Nantes: IEEE, 2017.
Renner, P., Pfeiffer, T.: [POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study. ISMAR 2017. IEEE, Nantes (2017).
Renner, Patrick, and Pfeiffer, Thies. “[POSTER] Augmented Reality Assistance in the Central Field-of-View Outperforms Peripheral Displays for Order Picking: Results from a Virtual Reality Simulation Study”. ISMAR 2017. Nantes: IEEE, 2017.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:50Z
MD5 Prüfsumme
107cda743267235f65c60b9f6950f138

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar