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Virtual Reality in Manual Order Picking - Systematic Literature Review Data

dc.contributor.author Knigge, Jan-Karl
dc.date.accessioned 2020-08-26T20:12:48Z
dc.date.available 2020-08-26T19:45:53Z
dc.date.available 2020-08-26T20:12:48Z
dc.date.created 2020
dc.date.issued 2020-08-26
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 full list of journal articles analysed in a systematic literature review. The sample of articles has been obtained by a database search in Web of Science and Business Source Premier by EBSCO Host on June, 22nd 2020, using the following search string: ("Virtual Reality" OR VR) AND ("Head Mounted Device*" OR "Head Mounted Display*" OR HMD* OR "HTC Vive" OR "Oculus Rift") en_US
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2478.2
dc.identifier.uri https://doi.org/10.25534/tudatalib-311.2
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 Systematic Literature Review en_US
dc.subject.classification 1.24-05
dc.subject.classification 4.41-05
dc.subject.ddc 650
dc.subject.ddc 620
dc.title Virtual Reality in Manual Order Picking - Systematic Literature Review Data en_US
dc.type Dataset en_US
tuda.history.classification Version=2020-2024;112-03 Betriebswirtschaftslehre
tuda.history.classification Version=2020-2024;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme

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SLRData.txtLiterature data as tab-separated values (text).364.53 KBPlain Text Download

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VersionDateSummary
2020-09-20 14:10:08
Small changes to column titles to improve readability.
2*
2020-08-26 22:11:26
Added more specific title and abstract
2020-08-26 21:45:53
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