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Evaluating the training transfer of Head-Mounted Display based training for assembly tasks

Published: 26 June 2018 Publication History

Abstract

The automotive industry is growing constantly and more and more assembly workers are needed to negotiate the production volume. The training of new employees is essential to ensure premium quality products and processes. New technologies for training such as head-mounted displays (HMDs) receive a growing amount of attention by the scientific community, especially in the industrial domain. Due to its possibility to work hands-free while providing users with necessary augmented information, HMDs can enhance the quality and efficiency of assembly training tasks. However, comprehensive evaluations in industrial environments regarding the training transfer using augmented reality (AR) technologies are still very limited. In this paper, we aim to close this gap by conducting a user study with two groups and 30 participants, measuring the training transfer. We compare the effects of two slightly different HMD-based training applications. The first group complete a tutorial, beginner, intermediate and expert training level, while the second group received an additional quiz level. Results show that group two needed 17% more time to complete the training but made 79% less sequence mistakes compared to the first group. Additionally, we compare the user satisfaction by using the system usability scale (SUS) and the perceived workload by measuring the NASA-TLX.

References

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  1. Evaluating the training transfer of Head-Mounted Display based training for assembly tasks

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    cover image ACM Other conferences
    PETRA '18: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference
    June 2018
    591 pages
    ISBN:9781450363907
    DOI:10.1145/3197768
    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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    Published: 26 June 2018

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    Author Tags

    1. Assembly
    2. Augmented Reality
    3. Evaluation
    4. Head-Mounted Display
    5. Training

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    • (2024)On the Benefits of Image-Schematic Metaphors when Designing Mixed Reality SystemsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642925(1-20)Online publication date: 11-May-2024
    • (2024)Unlocking Augmented Reality Learning Design Based on Evidence From Empirical Cognitive Load Studies—A Systematic Literature ReviewJournal of Computer Assisted Learning10.1111/jcal.1309541:1Online publication date: 2-Dec-2024
    • (2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
    • (2024)A comparative study for the assessment of marker-less mixed reality applications for the operator trainingInternational Journal of Computer Integrated Manufacturing10.1080/0951192X.2024.2314793(1-23)Online publication date: 6-Feb-2024
    • (2023)Augmented Reality for Assembly Training in Industry: A Systematic Literature MappingProceedings of the 25th Symposium on Virtual and Augmented Reality10.1145/3625008.3625020(77-87)Online publication date: 6-Nov-2023
    • (2023)Manual Assembly Augmented Reality Systems Implementation: A Systematic Literature MappingProceedings of the 25th Symposium on Virtual and Augmented Reality10.1145/3625008.3625011(17-25)Online publication date: 6-Nov-2023
    • (2023)A human factors-aware assistance system in manufacturing based on gamification and hardware modularisationInternational Journal of Production Research10.1080/00207543.2023.216614061:22(7760-7775)Online publication date: 13-Jan-2023
    • (2023)Augmented reality for constructivist learning at work: current perspectives and future applicationsAugmented Reality für konstruktivistisches Lernen bei der Arbeit: Aktuelle Perspektiven und zukünftige AnwendungenGruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO)10.1007/s11612-023-00699-054:3(323-334)Online publication date: 10-Aug-2023
    • (2023)Emergent Individual Factors for AR Education and TrainingAdvances in Visual Computing10.1007/978-3-031-47966-3_3(27-38)Online publication date: 16-Oct-2023
    • (2023)Augmenting Human-Machine Teaming Through Industrial AR: Trends and ChallengesSystems Collaboration and Integration10.1007/978-3-031-44373-2_22(365-385)Online publication date: 18-Oct-2023
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