Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）

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Construction and Optimization of an Artificial Intelligence-Assisted Kansei Engineering Product Design Mapping Model

Authors
Tianxin Li1, *
1School of the Art Institute of Chicago, Chicago, USA
*Corresponding author. Email: litianxin2014@gmail.com
Corresponding Author
Tianxin Li
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-502-7_99How to use a DOI?
Keywords
Artificial Intelligence; Kansei Engineering; Product Design
Abstract

This paper systematically summarizes the application of artificial intelligence technology in Kansei engineering research, mainly including three aspects: emotional imagery acquisition, product design feature extraction, and mapping model construction. AI technology can quickly and accurately obtain users’ emotional imagery, extract product design features, and establish a mapping relationship between user emotions and product features, thereby improving the efficiency and quality of emotional product design. The article points out that there are still certain limitations in the current application of AI in Kansei engineering, and future development directions include multi-expert collaboration, the application of virtual reality technology, and the integration of generative AI. This paper provides a useful reference for the application of AI technology in Kansai engineering research.

Copyright
© 2024 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 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
Series
Atlantis Highlights in Computer Sciences
Publication Date
31 August 2024
ISBN
978-94-6463-502-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-502-7_99How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Tianxin Li
PY  - 2024
DA  - 2024/08/31
TI  - Construction and Optimization of an Artificial Intelligence-Assisted Kansei Engineering Product Design Mapping Model
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 920
EP  - 927
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_99
DO  - 10.2991/978-94-6463-502-7_99
ID  - Li2024
ER  -