Assessment and Semantic Categorization of Fabric Visual Texture Preferences

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