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

Doris Aschenbrenner, Florian Leutert, Argun Çençen, Jouke Verlinden, Klaus Schilling, Marc Latoschik, Stephan Lukosch

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
95 Downloads (Pure)

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.

Original languageEnglish
Article number37
Pages (from-to)1-17
Number of pages17
JournalFrontiers Robotics AI
Volume6
Issue numberMAY
DOIs
Publication statusPublished - 2019

Keywords

  • Augmented reality
  • Collaboration
  • Collaborative mixed-reality application
  • Industrial robot
  • Maintenance
  • Mixed reality
  • Repair
  • User study

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