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Kansei, surfaces and perception engineering
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). (Funktionella ytor)ORCID iD: 0000-0001-8058-1252
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). Jönköping University, Jönköping, Sweden. (Functional Surfaces)
Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS). (Functional Surfaces)ORCID iD: 0000-0002-7184-7335
2016 (English)In: Surface Topography: Metrology and Properties, ISSN 2051-672X, Vol. 4, no 3, 033001Article in journal (Refereed) Published
Abstract [en]

The aesthetic and pleasing properties of a product are important and add significantly to the meaning and relevance of a product. Customer sensation and perception are largely about psychological factors. There has been a strong industrial and academic need and interest for methods and tools to quantify and link product properties to the human response but a lack of studies of the impact of surfaces. In this study, affective surface engineering is used to illustrate and model the link between customer expectations and perception to controllable product surface properties. The results highlight the use of the soft metrology concept for linking physical and human factors contributing to the perception of products. Examples of surface applications of the Kansei methodology are presented from sauna bath, health care, architectural and hygiene tissue application areas to illustrate, discuss and confirm the strength of the methodology. In the conclusions of the study, future research in soft metrology is proposed to allow understanding and modelling of product perception and sensations in combination with a development of the Kansei surface engineering methodology and software tools.

Place, publisher, year, edition, pages
Bristol: Institute of Physics (IOP), 2016. Vol. 4, no 3, 033001
Keyword [en]
surface texture, affective engineering, soft metrology, industrial design, Kansei, surface, perception
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hh:diva-32713DOI: 10.1088/2051-672X/4/3/033001ISI: 000385415500001OAI: oai:DiVA.org:hh-32713DiVA: diva2:1056905
Projects
Vinnova FFI: Robust formsprutning av fordonskomponenter med önskade ytegenskaper
Funder
VINNOVA
Note

Funding: A. Zahner Company, MO, USA, Tylö AB, Sweden, Getinge Sterilization, Sweden & Vinnova.

Available from: 2016-12-15 Created: 2016-12-15 Last updated: 2016-12-16Bibliographically approved

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Rosén, Bengt-GöranEriksson, LarsBergman, Martin
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Citation style
  • apa
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