Systematic literature review on usability and training outcomes of using digital training technologies in industry

This state-of-the-art literature review synthesizes findings from 33 articles reporting on the usability and training outcomes of digital training technologies and methods for industrial job roles, adhering to PRISMA guidelines, and analyzed based on PICOC framework. Collaborative efforts between ac...

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Main Authors: Lasse Nielsen Langendorf, Md Saifuddin Khalid
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Computers in Human Behavior Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2451958825000193
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author Lasse Nielsen Langendorf
Md Saifuddin Khalid
author_facet Lasse Nielsen Langendorf
Md Saifuddin Khalid
author_sort Lasse Nielsen Langendorf
collection DOAJ
description This state-of-the-art literature review synthesizes findings from 33 articles reporting on the usability and training outcomes of digital training technologies and methods for industrial job roles, adhering to PRISMA guidelines, and analyzed based on PICOC framework. Collaborative efforts between academia and industry have led to industrial training evaluations. Most of which focus on augmented reality (AR) and mixed reality (MR). For benchmarking, digital training is commonly compared to paper-based manuals before digital instructions and peer-training, although a significant number of studies lack comparative analysis. Effectiveness, efficiency, and satisfaction are the primary parameters for assessing usability, with many studies prioritizing quantitative measures such as task completion times and error rates. Only 12 studies evaluated all three usability parameters, and a mere five papers incorporated major learning theories, with just three considering both learning theories and usability, indicating a need for more interdisciplinary research. While digital training technologies generally show improved performance over traditional manuals, comparisons with peer-training yield inconsistent results. This variability, combined with differences in context, populations, and evaluation methods, suggests that broader research is needed for definitive conclusions on the potential performance gains achieved by utilizing digital training technologies.
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spelling doaj-art-b1c5a52ce66e46bf800b018987a4b43c2025-02-07T04:47:59ZengElsevierComputers in Human Behavior Reports2451-95882025-03-0117100604Systematic literature review on usability and training outcomes of using digital training technologies in industryLasse Nielsen Langendorf0Md Saifuddin Khalid1Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, Denmark; Novo Nordisk, Copenhagen, Denmark; Correspondence to: Bragesgade 33. 2200 København N, Denmark.Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, DenmarkThis state-of-the-art literature review synthesizes findings from 33 articles reporting on the usability and training outcomes of digital training technologies and methods for industrial job roles, adhering to PRISMA guidelines, and analyzed based on PICOC framework. Collaborative efforts between academia and industry have led to industrial training evaluations. Most of which focus on augmented reality (AR) and mixed reality (MR). For benchmarking, digital training is commonly compared to paper-based manuals before digital instructions and peer-training, although a significant number of studies lack comparative analysis. Effectiveness, efficiency, and satisfaction are the primary parameters for assessing usability, with many studies prioritizing quantitative measures such as task completion times and error rates. Only 12 studies evaluated all three usability parameters, and a mere five papers incorporated major learning theories, with just three considering both learning theories and usability, indicating a need for more interdisciplinary research. While digital training technologies generally show improved performance over traditional manuals, comparisons with peer-training yield inconsistent results. This variability, combined with differences in context, populations, and evaluation methods, suggests that broader research is needed for definitive conclusions on the potential performance gains achieved by utilizing digital training technologies.http://www.sciencedirect.com/science/article/pii/S2451958825000193Digital training technologyEvaluationJob-specific trainingIndustry
spellingShingle Lasse Nielsen Langendorf
Md Saifuddin Khalid
Systematic literature review on usability and training outcomes of using digital training technologies in industry
Computers in Human Behavior Reports
Digital training technology
Evaluation
Job-specific training
Industry
title Systematic literature review on usability and training outcomes of using digital training technologies in industry
title_full Systematic literature review on usability and training outcomes of using digital training technologies in industry
title_fullStr Systematic literature review on usability and training outcomes of using digital training technologies in industry
title_full_unstemmed Systematic literature review on usability and training outcomes of using digital training technologies in industry
title_short Systematic literature review on usability and training outcomes of using digital training technologies in industry
title_sort systematic literature review on usability and training outcomes of using digital training technologies in industry
topic Digital training technology
Evaluation
Job-specific training
Industry
url http://www.sciencedirect.com/science/article/pii/S2451958825000193
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