Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

Intelligent Pet Product Design Based on Kansei Engineering Analysis

Authors
Runze Cao1, 1, *, Dongming Ma1, Hao Qian1
1Department of Art and Design, Beijing University of Chemical Technology, Beijing, China
*Corresponding author. Email: 934627681@qq.com
Corresponding Author
Runze Cao
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_93How to use a DOI?
Keywords
product design; innovative pet products; Kensei engineering; parametric design
Abstract

This paper guides intelligent pet product design by analyzing the needs of the pet-owning population with the research method of Kansei engineering and visualizing the abstract sensual expression into product design elements. Through the design method of Kansei engineering, the intelligent pet product, which has high sensual added value, will have a form and structure that better meets the user's sensual needs. To apply the Kansei engineering approach to clever pet product design, first, the perceptual-cognitive vocabulary of existing pet product users for pet products were obtained through literature research. Then several groups of priority words were screened out through questionnaire surveys. Secondly, several typical and conceptual product samples were selected for analysis to transform the users' vague perceptual imagery into quantifiable and concrete data. Finally, the relevant data structure analysis was conducted by SPSS data analysis software. The analysis results were applied to the elements of product materials, colours, shapes and functions, and a parametric design method was used to design an intelligent pet product. Through the method of Kansei engineering and parametric design, the design of an intelligent pet product is constructed to meet the sensual needs of pet-owning people in the context of the new environment and to provide a reference for the development of similar products.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_93
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_93How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Runze Cao
AU  - Dongming Ma
AU  - Hao Qian
PY  - 2022
DA  - 2022/12/27
TI  - Intelligent Pet Product Design Based on Kansei Engineering Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 909
EP  - 920
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_93
DO  - 10.2991/978-94-6463-064-0_93
ID  - Cao2022
ER  -