EMOTIVE PRODUCT DESIGN BY SWARM INTELLIGENCE MODELLING
Alexander Nikov, Arvind Mohais, Selahattin Nesil
Strony: 38-48
Opublikowano: 1 Jan 2007
Wyświetlenia: 100
Streszczenie: The purpose of this paper is to apply swarm intelligence in Kansei engineering and explore ways to integrate it into an industrial product development process. For connecting customer emotional needs mathematically to product design properties a particle swarm optimization (PSO)-based approach is proposed. Using PSO, together with the Huffman algorithm, a generic factor was extracted, and used to define product design features. Emotional customer needs are derived bottom-up using Kansei words. PSO approach is illustrated and validated by a case study for pen design. Participants’ emotional responses for 13 different pens with 3 design properties were collected for 12 Kansei words measured in 5-point semantic differential scale. Experimental work in implementing the proposed approach was able to suggest credible design attributes of a pen that would be considered optimal by all of those surveyed. The advantages and further developments of approach proposed are discussed.
Słowa kluczowe: emotive design, integrating feelings in design process, swarm intelligence, particle swarm optimization
Cytowanie artykułu: Alexander Nikov, Arvind Mohais, Selahattin Nesil. EMOTIVE PRODUCT DESIGN BY SWARM INTELLIGENCE MODELLING. Journal of International Scientific Publications: Materials, Methods & Technologies 1, 38-48 (2007). https://www.scientific-publications.net/en/article/1003539/
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