Comparing Video and Augmented Reality Assistance in Manual Assembly

被引：85
作者：
Loch, Frieder [1 ]
Quint, Fabian [1 ]
Brishtel, Iuliia [1 ]
机构：
[1] DFKI, Innovat Factory Syst, Kaiserslautern, Germany
来源：
12TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS - IE 2016 | 2016年
关键词：
TECHNOLOGY ACCEPTANCE MODEL;
D O I：
10.1109/IE.2016.31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Manual work is a cornerstone of manufacturing. This holds true today, as well as for future factories of the Industry 4.0 era. Use cases of manual work are small series or highly customized products. Assistance systems that support workers in dealing with such diverse assembly processes are developed and evaluated. This paper presents an evaluation of an Augmented Reality-based assistance system which is integrated in a manual workstation. This system is compared with video-based assistance regarding performance, user acceptance and mental workload. It shows a significantly reduced number of errors and scored better regarding time and mental workload.
引用
收藏
页码：147 / 150
页数：4
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