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Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors
Design, Production and Management Department, University of Twente, Enschede, The Netherlands.
Logistics Engineering Laboratory, Aeronautics Institute of Technology, São José dos Campos, Brazil.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7229-4050
Design, Production and Management Department, University of Twente, Enschede, The Netherlands.
2019 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 9, no 16, article id 3382Article in journal (Refereed) Published
Abstract [en]

The paper aims to investigate the reasons why Augmented Reality (AR) has not fully broken the industrial market yet, or found a wider application in industries. The main research question the paper tries to answer is: what are the factors (and to what extent) that are limiting AR? Firstly, a reflection on the state of art of AR applications in industries is proposed, to discover the sectors more commonly chosen for deploying the technology so far. Later, based on a survey conducted after that, three AR applications have been tested on manufacturing, automotive, and railway sectors, and the paper pinpoints key aspects that are conditioning its embedding in the daily working life. In order to compare whether the perception of employees from railway, automotive, and manufacturing sectors differs significantly, a one-way analysis of variance (ANOVA) has been used. Later, suggestions are formulated in order to improve these aspects in the industry world. Finally, the paper indicates the main conclusions, highlighting possible future researches to start.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 9, no 16, article id 3382
Keywords [en]
augmented reality, augmented reality integration, augmented reality limitations, automotive, manufacturing, railway
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-75903DOI: 10.3390/app9163382Scopus ID: 2-s2.0-85070926761OAI: oai:DiVA.org:ltu-75903DiVA, id: diva2:1349362
Note

Validerad;2019;Nivå 2;2019-09-09 (johcin)

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09Bibliographically approved

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Singh, Sarbjeet

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