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An Analysis of an Augmented Reality Application to Support Service Staff in Industrial Maintenance

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Knowledge Management in Organizations (KMO 2021)

Abstract

Augmented Reality is an emerging technology and gains in importance. With AR, the physical world can be extended with virtual content. Especially AR-applications for industrial maintenance are experiencing an upswing. AR-technologies for maintenance aim to improve human performance by providing relevant information for a specific task. This information can be provided by sensor data from machines, software systems, or human experts. Currently, there are not many industry-ready AR-applications on the market. This lack raises the question if AR-applications can effectively support service staff in the field.

An experimental investigation was carried out to explore this field. Two industrial maintenance cases with different levels of difficulty were simulated, whereby service staff had to solve these real-life problems. Support from an expert was provided via an AR-application. In addition, the Affinity for Technology Interaction score was assessed in order to identify the target group for AR-applications.

The results clearly show that AR-applications can effectively support service staff in the field. The research also reveals that a high Affinity for Technology Interaction score of the service technician leads to a higher acceptance of the AR-application. The application offers many potentials, but there are still some limitations concerning the user interface and technological aspects.

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Notes

  1. 1.

    https://www.ptc.com/en/products/vuforia/vuforia-chalk [last checked on 12th of April 2021].

  2. 2.

    Image retrieved from: https://www.ptc.com/en/products/vuforia/vuforia-chalk [last checked on 12th of April 2021].

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Correspondence to Reinhard Bernsteiner .

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Bernsteiner, R., Ploder, C., Dilger, T., Nigg, J., Spieß, T., Weichelt, R. (2021). An Analysis of an Augmented Reality Application to Support Service Staff in Industrial Maintenance. In: Uden, L., Ting, IH., Wang, K. (eds) Knowledge Management in Organizations. KMO 2021. Communications in Computer and Information Science, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-030-81635-3_37

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  • DOI: https://doi.org/10.1007/978-3-030-81635-3_37

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