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CLAM – A method for cognitive load assessment in manufacturing
University of Skövde, School of Engineering Science.ORCID iD: 0000-0002-8369-5471
University of Skövde, School of Informatics.ORCID iD: 0000-0003-0946-7531
University of Skövde, School of Informatics.ORCID iD: 0000-0003-0159-9628
2017 (English)In: Advances in Manufacturing Technology XXXI / [ed] Gao, J., El Souri, M., Keates, S, Amsterdam, 2017, Vol. 6, no 1, 114-119 p.Conference paper, Published paper (Refereed)
Abstract [en]

The increasing complexity and demands of assembly operations in manufacturing has been shown to lead to increased cognitive load in assembly workers. Previous work has outlined the complexity of an assembly worker’s situation both in terms of difficulty and speed of work and there have been a few attempts at creating frameworks and methods for understanding the key aspects of what creates increased cognitive load. This paper presents a tool for assessing cognitive load in manufacturing, primarily assembly. The paper presents the method and an accompanying tool as well as some insights derived from this method development. The intended contribution of the work is to make a difference in reducing the cognitive load of assembly workers on the shop floor, thus focusing the development on applicability and usability of the tool in practice. 

Place, publisher, year, edition, pages
Amsterdam, 2017. Vol. 6, no 1, 114-119 p.
Series
Advances in Transdisciplinary Engineering Series, ISSN 2352-7528, E-ISSN 2352-751X ; 6
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:uu:diva-333569Scopus ID: 2-s2.0-85028376430ISBN: 978-1-61499-791-7 (print)ISBN: 978-1-61499-792-4 (electronic)OAI: oai:DiVA.org:uu-333569DiVA: diva2:1157232
Conference
15th International Conference on Manufacturing Research, incorporating the 32nd National Conference on Manufacturing Research, September 5 – 7, 2017, University of Greenwich, UK.
Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2017-11-15

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Thorvald, PeterLindblom, JessicaAndreasson, Rebecca
Production Engineering, Human Work Science and Ergonomics

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