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Augmented Reality for Machine Monitoring in Industrial Manufacturing: A Media Comparison in Terms of Efficiency, Effectiveness, and Satisfaction
Scania CV AB, Global Industrial Development, Södertälje, Sweden ; Department of Civil and Industrial Engineering, Division of Industrial Engineering and Management, Uppsala University, Sweden.
Scania CV AB, Global Industrial Development, Södertälje, Sweden.
Department of Civil and Industrial Engineering, Division of Industrial Engineering and Management, Uppsala University, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-7232-9353
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2025 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 13, p. 82129-82143Article in journal (Refereed) Published
Abstract [en]

Usability is a key factor for successfully integrating new technology to aid an operator in production. It is measured using three metrics: efficiency (productivity), effectiveness (quality), and user satisfaction. One prominent technology for operator support is augmented reality (AR), which is mostly handheld or head-mounted. A human-centered approach is required to align the AR integration with the operator’s capabilities. The underlying use case in this study is an energy dashboard visualized using AR and non-AR media, namely, a monitor, tablet, and HoloLens. The resulting media applications were evaluated for usability in terms of efficiency, effectiveness, and satisfaction in the within-study experiments by 16 participants. Overall, the results showed increased efficiency and satisfaction for traditional-monitor users and increased effectiveness for tablet users. Despite the participants’ lack of experience with AR, the AR applications performed comparably to the monitor and even slightly better in some aspects. With the ongoing development of AR software and hardware, AR can become increasingly useful for machine monitoring in production. However, to use AR for more comprehensive tasks, its strengths and weaknesses must be considered. 

Place, publisher, year, edition, pages
IEEE, 2025. Vol. 13, p. 82129-82143
Keywords [en]
Augmented Reality, Energy dashboards, Extended Reality, Human-machine interface, Industry 4.0, Industry 5.0, Machine monitoring, Operator 4.0, Usability, Usability engineering, Energy, Energy dashboard, Human Machine Interface, Industrial manufacturing, Key factors
National Category
Production Engineering, Human Work Science and Ergonomics Human Computer Interaction Computer Vision and Learning Systems
Research subject
User Centred Product Design; Virtual Production Development (VPD)
Identifiers
URN: urn:nbn:se:his:diva-25150DOI: 10.1109/ACCESS.2025.3566442ISI: 001489664500016Scopus ID: 2-s2.0-105004207185OAI: oai:DiVA.org:his-25150DiVA, id: diva2:1958415
Note

CC BY 4.0

Corresponding author: Kaveh Amouzgar (kaveh.amouzgar@angstrom.uu.se)

Available from: 2025-05-15 Created: 2025-05-15 Last updated: 2025-11-05Bibliographically approved

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Hanson, LarsUrenda Moris, MatíasAmouzgar, Kaveh

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