Naslov
Assessment and Semantic Categorization of Fabric Visual Texture Preferences

Autori
Kodžoman, Duje ; Hladnik, Aleš ; Pavko Čuden, Alenka ; Čok, Vanja

Izvornik
AUTEX research journal (1470-9589) Ahead of print (2022); 1-13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Fabric, Hierarchical Cluster Analysis, Principal Component Analysis, Semantic meaning, Textile, Texture, Visual Preference

Sažetak
The texture of a fabric can be perceived by the haptic and visual senses. Visual texture can be defined as a visual quality of a surface. It is an important phenomenon because it can be significant in many fields such as textile design and e-commerce. At the same time, when applying the semantic meaning, it is important to take into account that there are a variety of manifestations of fabrics (e.g., woven, knitted, etc.). The mechanism of visual texture perception of fabrics was investigated by measuring visual evaluation values. In the experiment, 12 textile samples with different surface textures are evaluated using thirty-four adjectives (Kansei words). For each visual texture, the adjectives with the highest mean ratings are extracted and analyzed. By using Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) the aim was to discover and determine preferences for the visual texture of fabrics. The result is a semantic explanation of fabric texture with the proposed adjectives, which can help customers to evaluate the quality of the textile.

Izvorni jezik
Engleski

Znanstvena područja
Tekstilna tehnologija, Interdisciplinarne tehničke znanosti, Dizajn, Interdisciplinarno umjetničko polje

POVEZANOST RADA