Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots

Journal Article (2019)
Author(s)

Doris Aschenbrenner (TU Delft - Industrial Design Engineering)

Florian Leutert (Zentrum für Telematik)

Argun Çençen (TU Delft - Industrial Design Engineering)

Jouke Verlinden (Universiteit Antwerpen)

Klaus Schilling (Zentrum für Telematik)

Marc Latoschik (Julius-Maximilians University)

Stephan Lukosch (TU Delft - Technology, Policy and Management)

Research Group
Knowledge and Intelligence Design
DOI related publication
https://doi.org/10.3389/frobt.2019.00037 Final published version
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Publication Year
2019
Language
English
Research Group
Knowledge and Intelligence Design
Journal title
Frontiers Robotics AI
Issue number
MAY
Volume number
6
Article number
37
Pages (from-to)
1-17
Downloads counter
337
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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.