Visual Perception of Virtual Fabric Properties in 3D Activewear Dynamic Visualization

While 3D apparel CAD shows promise for advancing dynamic clothing displays, limited empirical evidence exists on whether digital twins accurately reflect consumer perceptions, particularly visual-tactile sensations. This study examines the relationship between virtual fabric parameters and consumer perceptions, focusing on descriptors including flexibility, supportiveness, and comfort. A Maxdiff Conjoint survey with 96 participants was used to evaluate eight CLO virtual fabric variants, manipulated in three fabric parameters: stretch and shear, bending, and density. Findings suggest that perceived flexibility significantly influences comfort assessment, with smooth, flexible fabrics rated as more comfortable but less supportive. Further analysis reveals that optimal comfort is associated with a combination of low bending, stretch, and shear properties coupled with high density. This research provides valuable insights for 3D apparel designers, emphasizing the importance of accurate fabric mechanical property simulation to enhance virtual clothing realism.