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In: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA'19). ACM, New York, NY, USA, pp 398-401

Exploring Training Modes for Industrial Augmented Reality Learning

Mario Heinz-Jakobs , Sebastian Büttner and Carsten Röcker,
Nov 2019

In this paper, we present a conceptual approach and the Mirst 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 Mield 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.

Literature procurement: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA'19). ACM, New York, NY, USA, pp 398-401
@inproceedings{109,
author= {Heinz-Jakobs, Mario and Büttner, Sebastian and Röcker, Carsten},
title= {Exploring Training Modes for Industrial Augmented Reality Learning},
booktitle= {Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA'19). ACM, New York, NY, USA, pp 398-401},
year= {2019},
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volume= {},
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pages= {0},
address= {},
month= {Nov},
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}