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Virtual Reality in Manual Order Picking - Systematic Literature Review Data

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DataCite Commons2021-06-22 更新2025-04-16 收录
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https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2478.3
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资源简介:
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")

半自动化货到人拣选系统在订单拣选领域的应用愈发普及,这使得适配高效快速搜索与拣选的货架设计愈发重要。依托现代头戴式设备(head-mounted devices,简称HMD)的虚拟现实(Virtual Reality,简称VR)技术,是面向单货架订单拣选环节开展以人为中心规划的极具前景的技术手段。然而,当前顶尖的头戴式设备仍存在诸多局限。为评估头戴式设备的可用性,学界关注的核心问题在于:相较于真实作业环境,这些局限是否会导致虚拟现实场景下的工作负荷与实测时长出现差异。为此,研究人员搭建了一套包含真实货架与同等尺寸虚拟复刻模型的实验装置(采用HTC Vive头戴式设备),并开展了一项纳入112名普通参与者与10名专业订单拣选员的随机对照研究。本数据集收录了某系统性文献综述中所分析的全部期刊论文列表。该论文样本于2020年6月22日,通过在Web of Science与EBSCO Host旗下的Business Source Premier数据库执行检索获取,所用检索式如下:("Virtual Reality" OR VR) AND ("Head Mounted Device*" OR "Head Mounted Display*" OR HMD* OR "HTC Vive" OR "Oculus Rift")
提供机构:
Technical University of Darmstadt
创建时间:
2020-09-20
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