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Establishing the Usability of a Virtual Training System for Assembly Operations within the Automotive Industry

Authors:

K. MuraAuthors Info & Claims

Human Factors in Ergonomics & Manufacturing, Volume 26, Issue 6

Pages 667 - 679

https://doi.org/10.1002/hfm.20406

Published: 01 November 2016 Publication History

Abstract

Virtual training systems deliver training within a virtual environment VE using virtual reality VR or augmented reality AR technologies. However, to be fully accepted as a valid tool for training within the automotive industry, evidence is required on the ability of these systems to deliver effective and efficient training to the relevant users. This paper aims to investigate the effectiveness and efficiency of the first prototype of the virtual training system VTS developed within the VISTRA Virtual Simulation and Training of Assembly and Service Processes in Digital Factories project FP7-ICT-285176, using real end users from the OPEL automotive plant in Rüsselsheim, Germany. Two separate and independent studies were employed that used objective and subjective methods of investigation to establish performance and usability measures. The objective results show that virtual training was effective in reducing error during task performance when compared to traditional training. The subjective results concluded that the opinions of the participants were mainly positive concerning the overall use of the VTS for assembly operation training; however, a number of issues were highlighted and reported to the developers for further advancement of the system.

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Cited By

Potts DJicol CClarke CO'Neill EFitton IDark EOliveira Da Silva MBroad ZSehgal THartley JDalton JProulx MLutteroth C(2024)REVEAL: REal and Virtual Environments Augmentation Lab @ BathExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3648658(1-5)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3648658
Fitton IDark EOliveira da Silva MDalton JProulx MClarke CLutteroth C(2024)Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor TaskProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642550(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642550
Lan GLai QBai BZhao ZHao Q(2024)A Virtual Reality Training System for Automotive Engines Assembly and DisassemblyIEEE Transactions on Learning Technologies10.1109/TLT.2023.333047117(754-764)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TLT.2023.3330471
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Establishing the Usability of a Virtual Training System for Assembly Operations within the Automotive Industry
1. Computing methodologies
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Published In

cover image Human Factors in Ergonomics & Manufacturing

Human Factors in Ergonomics & Manufacturing Volume 26, Issue 6

November 2016

115 pages

ISSN:1090-8471

EISSN:1520-6564

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Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 November 2016

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Potts DJicol CClarke CO'Neill EFitton IDark EOliveira Da Silva MBroad ZSehgal THartley JDalton JProulx MLutteroth C(2024)REVEAL: REal and Virtual Environments Augmentation Lab @ BathExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3648658(1-5)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3648658
Fitton IDark EOliveira da Silva MDalton JProulx MClarke CLutteroth C(2024)Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor TaskProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642550(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642550
Lan GLai QBai BZhao ZHao Q(2024)A Virtual Reality Training System for Automotive Engines Assembly and DisassemblyIEEE Transactions on Learning Technologies10.1109/TLT.2023.333047117(754-764)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TLT.2023.3330471
Macias-Velasquez SMedellin-Castillo HGarcia-Barrientos A(2024)New-user experience evaluation in a semi-immersive and haptic-enabled virtual reality system for assembly operationsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103312190:COnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103312
Husár JKnapčíková L(2024)Implementation of Augmented Reality in Smart Engineering Manufacturing: Literature ReviewMobile Networks and Applications10.1007/s11036-023-02121-x29:1(119-132)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11036-023-02121-x
Osti Fde Amicis RSanchez CTilt APrather ELiverani A(2021)A VR training system for learning and skills development for construction workersVirtual Reality10.1007/s10055-020-00470-625:2(523-538)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s10055-020-00470-6
Mattsson SFast-Berglund ÅLi DThorvald P(2020)Forming a cognitive automation strategy for Operator 4.0 in complex assemblyComputers and Industrial Engineering10.1016/j.cie.2018.08.011139:COnline publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1016/j.cie.2018.08.011
Garcia CNaranjo JAlvarez-M. EGarcia M(2019)Training Virtual Environment for Teaching Simulation and Control of Pneumatic SystemsAugmented Reality, Virtual Reality, and Computer Graphics10.1007/978-3-030-25965-5_8(91-104)Online publication date: 24-Jun-2019
https://dl.acm.org/doi/10.1007/978-3-030-25965-5_8
Ho NWong PChua MChui C(2018)Virtual reality training for assembly of hybrid medical devicesMultimedia Tools and Applications10.5555/3288443.328849077:23(30651-30682)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.5555/3288443.3288490
Murauer NMüller FGünther SSchön DPflanz NFunk M(2018)An Analysis of Language Impact on Augmented Reality Order Picking TrainingProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference10.1145/3197768.3201570(351-357)Online publication date: 26-Jun-2018
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