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Evaluating an Augmented Reality Prototype for Enhanced User Guidance in an Industrial Production Context
University West, Department of Engineering Science. (KAMPT iAIL KAMAIL)ORCID iD: 0000-0002-2465-3087
University West, Department of Engineering Science, Division of industrial automation. (KAMPT iAIL KAMAIL)ORCID iD: 0000-0003-0086-9067
GKN Aerospace Sweden AB, Trollhättan (SWE).
2024 (English)In: Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024) / [ed] Joel Andersson, Shrikant Joshi, Lennart Malmsköld, Fabian Hanning, IOS Press, 2024, p. 419-430Conference paper, Published paper (Refereed)
Abstract [en]

This study evaluates an augmented reality (AR) prototype aimed at enhancing user guidance in industrial procedures, focusing on tool change tasks. The variability in experience and skills among operators and maintenance technicians in handling machine-related requirements poses challenges to smooth operations. To address this, an AR guidance system was developed for a head-mounted display device, utilizing image, object, and gesture recognition to minimize user interaction and enhance system adaptiveness, ultimately reducing cognitive load. A user study employing video observations and questionnaires was conducted to evaluate the AR system’s impact on usability and cognitive load. Results indicate that the prototype effectively facilitated tool change tasks, providing a user-friendly experience with reduced cognitive load. The integration of image, object, and gesture recognition contributed to streamlined user guidance, minimizing the need for constant user interventions. Notably, participants experienced a fluid user experience with high usability and a moderate cognitive load, emphasizing the system’s potential in managing complex tasks. The study also highlighted the applicability of AR technology in fields beyond tool changes, such as troubleshooting, and identified a preference for an apprenticeship-style training approach among participants.

Place, publisher, year, edition, pages
IOS Press, 2024. p. 419-430
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X,, E-ISSN 1573-6725 ; 52
Keywords [en]
work-integrated learning, production technology, education, automation, sustainable production
National Category
Production Engineering, Human Work Science and Ergonomics Human Computer Interaction
Research subject
Work-Integrated Learning; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-22443DOI: 10.3233/atde240185ISI: 001229990300035Scopus ID: 2-s2.0-85191293385ISBN: 9781643685106 (print)ISBN: 9781643685113 (electronic)OAI: oai:DiVA.org:hv-22443DiVA, id: diva2:1898548
Conference
11th Swedish Production Symposium (SPS2024)
Note

CC BY-NC 4.0

Available from: 2024-09-17 Created: 2024-09-17 Last updated: 2026-01-09

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Hattinger, Monika

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