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dc.contributor.authorKnigge, Jan-Karl
dc.date.accessioned2020-08-26T20:38:25Z
dc.date.available2020-08-26T20:38:25Z
dc.date.issued2020
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2480
dc.identifier.urihttps://doi.org/10.25534/tudatalib-317
dc.descriptionSemi-automated parts-to-picker systems are becoming more popular in order picking, making efficient rack designs for fast searching and picking more important. Virtual reality (VR) using modern head-mounted devices (HMD) is a promising technology for the human-centred planning of order picking at single racks. However, state-of-the-art HMDs come with several limitations. For evaluating the usability of HMDs, it is of interest whether these limitations lead to different workload and measured times in VR compared to a real environment. An experimental setup consisting of a real rack and an equally sized virtual representation (using the HTC Vive HMD) has been developed for a randomized controlled study with 112 participants and 10 professional order pickers. This dataset contains the raw data obtained during the experimental study. - Contains the code of all software used during the experimental study: 1) Order control tool (software used to manually play picking commands, measure order completion times and manually register picking errors and dropped items); 2) Sensor control (Python code run on a Raspberry Pi to control infrared sensors and write timestamps of sensor interruptions into a database); 3) VR Model (Unity model for displaying the VR).en_US
dc.rightsMIT License
dc.rights.urihttps://opensource.org/licenses/MIT
dc.subject.classification407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
dc.subject.classification407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr
dc.subject.classification112-03 Betriebswirtschaftslehre
dc.subject.ddc620
dc.subject.ddc380
dc.subject.ddc650
dc.titleVirtual Reality in Manual Order Picking - Softwareen_US
dc.typeSoftwareen_US
tud.history.classificationVersion=2016-2020;112-03 Betriebswirtschaftslehre;407-04 Verkehrs- und Transportsysteme, Logistik, Intelligenter und automatisierter Verkehr;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme;


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MIT License
Except where otherwise noted, this item's license is described as MIT License