TY  - JOUR
TI  - Perceptual evaluation of female trench coat design based on Quantitative Theory I
AU  - Chang, Hongru
AU  - Hu, Yue
AU  - Dong, Yan
T2  - Industria Textila
AB  - In the process of apparel design, understanding consumers’ emotional demand is crucial to creating satisfactory
garment styles. To solve the problem of the mismatch between consumers’ personalised needs and the design of trench
coat styles. This paper focuses on women’s trench coats and proposes a style design research method that combines
Quantification Theory I and Kansei Engineering. Initially, it employs the Semantic Difference Analysis Method to extract
consumers’ emotional evaluations of trench coat samples. Using SPSS software, it analyses the emotional ratings and
identifies key emotional factors, constructing a two-dimensional emotional distribution map for trench coat styles.
Simultaneously, it analyses style characteristics to extract the main design elements. Building on this, it integrates
Quantification Theory I and performs linear regression, predicting relationships between emotional factors and design
elements and establishing a mathematical model. This model exhibits a high degree of fit between measured and
predicted values and adheres to normal distribution requirements, demonstrating its effectiveness. Ultimately, the study
validates the mathematical model through real consumer design cases, further confirming that it can effectively translate
consumers’ emotional needs into trench coat design elements, thus providing significant insights and references for
women’s trench coat style design.
DA  - 2025/12/22/
PY  - 2025
DO  - 10.35530/IT.076.06.2024143
DP  - DOI.org (Crossref)
VL  - 76
IS  - 06
SP  - 852
SN  - 1222-5347
UR  - https://revistaindustriatextila.ro/images/2025/6/011%20HONGRU%20CHANG_%20INDUSTRIA%20TEXTILA%20no.6_2025.pdf
Y2  - 2026/01/01/16:28:58
ER  -