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Design of machine portfolio: Improving cognitive ergonomics
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science.
2025 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesisAlternative title
Design av maskinportfolio : Förbättring av kognitiv ergonomi (Swedish)
Abstract [en]

This project focuses on the creation of a new machine portfolio for the company CIDAN Machinery Group. The purpose of the project was to increase the understanding of sheet metal processing machines regarding cognitive ergonomics. This was achieved by altering the form and color of the machines to conform to gestalt laws and color theory to improve upon the cognitive ergonomics of the design. The project began with a literature study regarding color attributes, cognitive ergonomics, affordance, color blindness and relevant ISO standards, among other things. Next, various research methods and analysis were performed, such as market research, design format analysis, function analysis and user study. The user study included interviews, observations and surveys. The interviews and observations focused on the user experience of the machines while the survey focused on the identification of machine components. The information that was gathered was then used to generate form aspects with the help of brainstorming and morphological matrix. A total of 12 concepts were generated which were evaluated with the help of concept screening and concept scoring to extract one final concept. From the literature study a color palette could be developed which was perceivable regarding color blindness. This palette was applied to the concept in a way where the workstations of machine operators and mechanics would be separated. Other aspects were applied that would communicate the function of the machine with the help of patterns. A CAD model of the concept was created which was then 3D printed. Both models were used to test the concept regarding identification of machine components and visibility at different light levels. The concept was found to increase users’ ability to identify the machine type while the palette was recognizable at every tested light level.

Place, publisher, year, edition, pages
2025. , p. 70
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:his:diva-25930OAI: oai:DiVA.org:his-25930DiVA, id: diva2:2008159
External cooperation
CIDAN Machinery Group
Subject / course
Product Design Engineering
Educational program
Bachelor of Science in Engineering - General Entry
Supervisors
Examiners
Available from: 2025-10-22 Created: 2025-10-22 Last updated: 2025-10-22Bibliographically approved

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fulltext(3417 kB)28 downloads
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Production Engineering, Human Work Science and Ergonomics

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2122232425262724 of 36
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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