Applying Kansei Engineering to decision making in fragrance form design

Chun Chun Wei, Min-Yuan Ma, Yang-Cheng Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The decision making process is usually vague and hard to describe clearly, which is regarded as something of a black box. It is essential for companies or manufacturers to comprehend the consumer's thinking or feeling. In order to help product designer best meet the consumer's specific feeling and expectation, we conduct an experimental study on fragrances using the Kansei Engineering approach and the Quantification Theory Type I analysis. The result of the experimental analysis shows that the quantitative models and design support information can be used to find out the optimal combination of product form elements in terms of a set of given product images. This approach provides an effective mechanism for facilitating the new product design process, and can be applied to other consumer products with various design elements and product images.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011
Pages85-94
Number of pages10
DOIs
Publication statusPublished - 2011 Dec 1
Event3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus, Greece
Duration: 2011 Jul 202011 Jul 22

Publication series

NameSmart Innovation, Systems and Technologies
Volume10 SIST
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other3rd International Conference on Intelligent Decision Technologies, IDT'2011
CountryGreece
CityPiraeus
Period11-07-2011-07-22

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Wei, C. C., Ma, M-Y., & Lin, Y-C. (2011). Applying Kansei Engineering to decision making in fragrance form design. In Intelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011 (pp. 85-94). (Smart Innovation, Systems and Technologies; Vol. 10 SIST). https://doi.org/10.1007/978-3-642-22194-1_9