Affective surface engineering- using soft and hard metrologhy to measure the sensation and perception in surface properties
2018 (English) In: Proceedings of NordDesign: Design in the Era of Digitalization, NordDesign 2018, Linköping: The Design Society, 2018Conference paper, Published paper (Refereed)
Abstract [en]
New surface treatments, novel material developments, and improved quality control procedures and advanced metrology instrumentation create a possibility to further develop competitiveness by the selection of “optimal” surface features”, to a product. The customers first apprehension of a product and the creation of desire is a very complex, but tempting process to learn more about. The interaction between the added quantitative- and the qualitative direct impressions with the customers known and unknown functional demands, social background, and expectations results in sensation and perception, partly possible to quantify and to great extent impossible to pin-down as numbers. Customer sensation and perception are much about psychological factors. There has been a strong industrial- and academic need and interest for methods and tools to quantify and linking product properties to the human response but a lack of studies of the impact of surfaces. This paper aims to introduce a novel approach to develop and join a human sensoric inspired metrology frame-work with qualitative gradings of apprehended impressions of products with varying surface properties. The aim is to establish the metrology framework to link measurable- and unmeasurable impressions of product surfaces to customer FEELING as exemplified by a set of industrial applications. In 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 Linköping: The Design Society, 2018.
Keywords [en]
Affective Engineering, Industrial Design, Kansei, Surface Perception, Surface Texture, Product design, Surface properties, Control procedures, Product perception, Psychological factors, Surface engineering, Surface textures, Sales
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers URN: urn:nbn:se:hj:diva-42293 Scopus ID: 2-s2.0-85057152013 ISBN: 9789176851852 (print) OAI: oai:DiVA.org:hj-42293 DiVA, id: diva2:1270420
Conference 13th Biennial Norddesign Conference, NordDesign 2018, 14 August 2018 through 17 August 2018
Funder VINNOVA 2018-12-132018-12-132020-11-06 Bibliographically approved