A Kansei engineering approach to optimizing traditional Nyonya Kebaya for young consumer preferences

The traditional Malaysian Nyonya Kebaya is increasingly overlooked by younger consumers, reflecting limited adaptation to contemporary fashion. This study employs Kansei Engineering to systematically identify and optimize Kebaya design elements that align with young consumers’ perceptual preferences. An exploratory sequential mixed-methods design was used. Sixty-four Kansei words were first extracted from visual analysis, interviews, and literature, then organized into a Kebaya-specific semantic space. Questionnaire surveys, card sorting, and clustering analyses revealed five perceptual dimensions—cultural perception, esthetic sensitivity, perceived trendiness, charm, and material texture—and yielded a distilled set of 12 high-salience Kansei words. These were mapped onto actionable design levers in structure, pattern, technique, and color, forming explicit guidelines for design optimization. The study’s unique contribution is a quantified, replicable KE pipeline tailored to heritage attire that (i) constructs a five-dimension semantic space for the Kebaya, (ii) operationalizes a compact Kansei lexicon for young-market targeting, and (iii) links perceptual cues to concrete design parameters. The framework advances beyond descriptive accounts by providing measurable criteria for redesign. Findings support the revitalization of the Nyonya Kebaya for contemporary markets and offer a generalizable approach to preserving and innovating other traditional garments.

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Publication Details

Journal
Journal of Engineered Fibers and Fabrics
Published
2026-01-01
DOI
https://doi.org/10.1177/15589250251398450
Primary Topic
Color perception and design
Type
article
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article

A Kansei engineering approach to optimizing traditional Nyonya Kebaya for young consumer preferences

Hongwen Liu, Wenxuan Wang, Guo Chunli, Yanping Lin et al.
Journal of Engineered Fibers and Fabrics
Color perception and design
article

A Kansei engineering approach to optimizing traditional Nyonya Kebaya for young consumer preferences

Hongwen Liu, Wenxuan Wang, Guo Chunli, Yanping Lin, Siti Rohaya Yahaya, Mingquan Liu
article en

Abstract

The traditional Malaysian Nyonya Kebaya is increasingly overlooked by younger consumers, reflecting limited adaptation to contemporary fashion. This study employs Kansei Engineering to systematically identify and optimize Kebaya design elements that align with young consumers’ perceptual preferences. An exploratory sequential mixed-methods design was used. Sixty-four Kansei words were first extracted from visual analysis, interviews, and literature, then organized into a Kebaya-specific semantic space. Questionnaire surveys, card sorting, and clustering analyses revealed five perceptual dimensions—cultural perception, esthetic sensitivity, perceived trendiness, charm, and material texture—and yielded a distilled set of 12 high-salience Kansei words. These were mapped onto actionable design levers in structure, pattern, technique, and color, forming explicit guidelines for design optimization. The study’s unique contribution is a quantified, replicable KE pipeline tailored to heritage attire that (i) constructs a five-dimension semantic space for the Kebaya, (ii) operationalizes a compact Kansei lexicon for young-market targeting, and (iii) links perceptual cues to concrete design parameters. The framework advances beyond descriptive accounts by providing measurable criteria for redesign. Findings support the revitalization of the Nyonya Kebaya for contemporary markets and offer a generalizable approach to preserving and innovating other traditional garments.

Journal of Engineered Fibers and FabricsVol. 21
Beijing Institute of Fashion Technology (CN), Universiti Sains Malaysia (MY), Jiangxi University of Water Resources and Electric Power (CN), Soochow University (CN), Nanchang Institute of Science & Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 96%
Color perception and design
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A Kansei engineering approach to optimizing traditional Nyonya Kebaya for young consumer preferences — Hongwen Liu, Wenxuan Wang, et al. · Journal of Engineered Fibers and Fabrics (2026) | TGRS Research Map | TGRS