TITLE:
Prelude to Natphoric Kansei Engineering Framework
AUTHORS:
Anitawati Mohd Lokman, Mohammad Bakri Che Haron, Siti Zaleha Zainal Abidin, Noor Elaiza Abd Khalid, Shigekazu Ishihara
KEYWORDS:
Kansei Engineering; Ant Colony Clustering; Natphoric Algorithm; Computer-Aided KE
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.12,
December
20,
2013
ABSTRACT: Consumers’ emotion has become
imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that
enables discovery of consumer’s emotion and formulation of guide to design
products that win consumers in the competitive market. Albeit powerful
technology, there is no rule of thumb in its analysis and interpretation
process. KE expertise is required to determine sets of related Kansei and the significant concept of
emotion. Many research endeavours become handicapped with the limited number of available and accessible
KE experts. This work is performed to simulate the role of experts with the use of Natphoric algorithm and thus provides solution to the complexity and flexibility in KE. The algorithm is
designed to learn the process by implementing training datasets taken from
previous KE research works. A framework for automated KE is then designed to
realize the development of automated KE system.