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Exploring training modes for industrial augmented reality learning

Published: 05 June 2019 Publication History

Abstract

In this paper, we present a conceptual approach and the first prototype of a mobile training system to provide non-expert users with helpful information about the functionality of complex automated industrial systems. The system uses an augmented reality (AR) tablet application to visualize information about internal processes, sensor states, settings and hidden parts of a production system directly in the field of view of a user. The available information can be accessed via four different methods which combine elements of step-by-step tutorials and open exploration. Our prototype aims to support users to better understand automated systems. While such systems will become more complex in future, we believe that augmented reality is a key concept that could help humans to better understand and experience automated systems and its consequences in general.

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PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments
June 2019
655 pages
ISBN:9781450362320
DOI:10.1145/3316782
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 05 June 2019

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Author Tags

  1. augmented reality
  2. automated systems
  3. automation
  4. industry 4.0
  5. learning

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  • German Federal Ministry of Education and Research (BMBF)

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PETRA '19

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