Research on CMF Design of Tourist Train Carriages Based on KE

DOI

10.2991/978-94-6239-737-8_43How to use a DOI?

Keywords

CMF Design; Semantic-Driven; Kansei Engineering

Abstract

This study proposes a CMF design method based on Kansei engineering to address passengers’ perceptual needs in tourist trains and to improve the alignment between design and cultural imagery. Taking Xinjiang–Central Asia regional cultural imagery as the analytical dimension, a methodological framework integrating design feature extraction and kansei evaluation is established through a systematic analysis of CMF design principles and perceptual imagery theory. Product imagery and corresponding CMF samples are then extracted and organized to construct a Kansei evaluation model tailored to train interior design. By mapping the relationships between perceptual imagery and design samples, the approach enables the translation from cognitive perception to design implementation, resulting in culturally adaptive and perceptually aligned CMF solutions. The results indicate that the proposed method effectively quantifies ambiguous perceptual demands and converts them into actionable CMF design parameters, thereby enhancing the user experience of train interiors.

Copyright

© 2026 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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TY  - CONF
AU  - Yujian Chen
AU  - Qi Zhang
PY  - 2026
DA  - 2026/08/18
TI  - Research on CMF Design of Tourist Train Carriages Based on KE
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 347
EP  - 354
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_43
DO  - 10.2991/978-94-6239-737-8_43
ID  - Chen2026
ER  -