Abstract
In order to support the decision-making process of industry on how to implement Augmented Reality (AR) in production, this article wants to provide guidance through a set of comparative user studies. The results are obtained from the feedback of 160 participants who performed the same repair task on a switch cabinet of an industrial robot. The studies compare several AR instruction applications on different display devices (head-mounted display, handheld tablet PC and projection-based spatial AR) with baseline conditions (paper instructions and phone support), both in a single-user and a collaborative setting. Next to insights on the performance of the individual device types for the single mode operation, the study is able to show significant indications on AR techniques are being especially helpful in a collaborative setting.
Highlights
As digitization advances further, there is the need to point production industry in the right direction when it comes to using Augmented and Mixed Reality (AR and MR) in their everyday applications
In order to get an overview of the measurements, the section starts with boxplots displaying a specific factor measured in all experiments
In order to compare the results of the studies with each other, we started with an analysis of each study individually
Summary
There is the need to point production industry in the right direction when it comes to using Augmented and Mixed Reality (AR and MR) in their everyday applications. If we consider trends like human-robot co-production, reconfigurable production plants and one-off production, it is clear that these lead to new challenges for the human operators of those systems. An increasing amount of complex work tasks can be expected due to this transformation, which requires more skilled and experienced workers. This is especially true for the field of maintenance and repair, where more complexity implies more possible error sources. Globalized service requests are ever increasing today, leading to a distinct need for better support mechanisms for knowledge transfer and support
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