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An Analysis of Language Impact on Augmented Reality Order Picking Training
PETRA
2018
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference
Abstract
Order picking is a difficult and cognitively demanding task. Traditionally textual instructions are helping new workers to learn different picking routines. However, the textual instructions are sometimes not written in the workers ’ native languages. In the area of Industry 4.0, where digital functions are finding their way into manufacturing processes, language-independent instructions are possible. Through a user study with 15 participants, we compare textual feedback in the workers’ native language, textual feedback that is written in an unknown foreign language, and visual Augmented Reality (AR) feedback. We found that AR feedback is significantly faster and leads to a lower perceived cognitive load.