AHFE Open AccessKansei Analysis of Spicy Noodle Packaging for Generative AI-Based Design Education
Abstract
This study examines the Kansei structure of Korean spicy noodle packaging as perceived by teenage female university students and explores its applicability to generative AI-supported design education. An impression evaluation experiment was conducted with 13 participants using seven commercially available packages found in Japanese supermarkets, and 16 Kansei word pairs were rated on a five-point semantic differential scale. Through principal component analysis and biplot visualization, individual packages were shown to occupy distinct positions within this affective space, corresponding to different design strategies such as emphasizing extreme spiciness, approachability, premium quality, or uniqueness. Furthermore, the visualized Kansei structure functioned as an effective reference framework for beginner designers using generative AI, suggesting its potential as both an analytical and educational tool.
Keywords: Packaging Design, Ramen, Design Education, Kansei / Affective Engineering, Food Packaging
DOI: 10.54941/ahfe1007432
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