Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)

Research on Kansei Characteristics of Electric Toothbrush Products Based on Big Data

Authors
Li Yibo1, *, Zhou Meiyu1
1School of Art Design and Media, East China University of Science and Technology, Shanghai, China
*Corresponding author. Email: 759287204@qq.com
Corresponding Author
Li Yibo
Available Online 10 October 2023.
DOI
10.2991/978-94-6463-266-8_27How to use a DOI?
Keywords
kansei engineering; web comment; morphological deconstruction; factor analysis; orthogonal experiment
Abstract

This study takes the Kansei characteristics of electric toothbrush products based on Kansei engineering and Internet comments, aiming to explore the differences and commonalities of diverse design elements. Data sources are mainly user comments on e-commerce websites. This paper studied the label word frequency of 8 electric toothbrush products, summarized the Kansei words through co-occurrence analysis and principal component analysis, analyzed the product appearance by morphological structure method, and revealed the corresponding performance of different product elements on the Kansei characteristics through orthogonal test, and provided specific guidance for the design and improvement of electric toothbrush.

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 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
10 October 2023
ISBN
10.2991/978-94-6463-266-8_27
ISSN
2589-4919
DOI
10.2991/978-94-6463-266-8_27How 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

TY  - CONF
AU  - Li Yibo
AU  - Zhou Meiyu
PY  - 2023
DA  - 2023/10/10
TI  - Research on Kansei Characteristics of Electric Toothbrush Products Based on Big Data
BT  - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
PB  - Atlantis Press
SP  - 241
EP  - 249
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-266-8_27
DO  - 10.2991/978-94-6463-266-8_27
ID  - Yibo2023
ER  -