Year: 2023
Author: Ze-Jun Zhang, Jian-Fang Liang, Zhong-Jie Dong
Journal of Fiber Bioengineering and Informatics, Vol. 16 (2023), Iss. 2 : pp. 103–120
Abstract
People’s psychological needs are becoming more important with society’s development and lifestyle change. Pets, as companions and family members of human beings, provide people with emotional support. Under the new relationship between people and pets, pet garment has become a popular way to enhance communication and interaction between people and animals and has commercial value. However, there is a lack of research focusing on developing pet garments that meet pet dog owners’ emotional needs. This paper takes the design of a pet dog knitted garment as an example. It combines Kansei Engineering (KE) and Analytical Hierarchy Process (AHP) to guide the design practice. It introduces the method of a fuzzy comprehensive evaluation to verify the matching degree between the designed pet dog knitted garment style and the Kansei Image of the pet dog owner. The study aims to explore a scientific design method for pet garments to meet the emotional needs of the pet dog owner. The research results show that combining KE and AHP can effectively realise the perceptual demand and make the design decision more scientific and reasonable.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.3993/jfbim02321
Journal of Fiber Bioengineering and Informatics, Vol. 16 (2023), Iss. 2 : pp. 103–120
Published online: 2023-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 18
Keywords: Kansei Engineering