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Virtual Reality in Manual Order Picking - Statistical analyses

dc.contributor.author Knigge, Jan-Karl
dc.date.accessioned 2020-09-20T12:00:52Z
dc.date.available 2020-08-26T19:54:48Z
dc.date.available 2020-08-26T20:10:54Z
dc.date.available 2020-09-20T12:00:52Z
dc.date.created 2020
dc.date.issued 2020-09-20
dc.description Semi-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 R code of the statistical analyses performed on the data obtained from the experimental study. The raw data is available here: https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2477.2. The analyses were performed using R version 3.6.1 and R studio version 1.2.1335. en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2479.3
dc.identifier.uri https://doi.org/10.25534/tudatalib-312.3
dc.language.iso de en_US
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject Virtual Reality en_US
dc.subject Head Mounted Display en_US
dc.subject Head Mounted Device en_US
dc.subject Manual Order Picking en_US
dc.subject HTC Vive en_US
dc.subject.classification 1.24-05
dc.subject.classification 4.41-04
dc.subject.classification 4.41-05
dc.subject.ddc 650
dc.title Virtual Reality in Manual Order Picking - Statistical analyses en_US
dc.type Software en_US
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=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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3*
2020-09-20 13:59:12
Added some more analyses.
2020-08-26 22:09:30
Added more specific title and description
2020-08-26 21:54:48
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