永野 光朗

In this third part of our papers, for the information of a garment design selection support system in adult women except students, the five design image key words and the two principal components of 3D-garment design images using the rotating 3D-garment simulation on three generations of 3D-body models were extracted by means of questionnaires. The 136 words selected from 1075 words describing the design images of the garments were classified by 457 females in their late 20's to 70's (means = 45.77 years old) using Cluster Analysis. The selected five key words for design images were: A1. Lady &amp Feminine, A2. Sharp &amp Modern, A3. Casual, A4. Standard &amp Retro, and A5. Elegant images. The twenty 3D-garments of three different 3D-body shape models were built as a simulation for the evaluation of design images. The design images using these five key words and the appearance for the twenty 3D-garments of three models, impression, clothing life, and other items were evaluated by 127 females, in their 20's to 70's (means = 45.88 years old), mainly using a five point scale. The evaluations of the main items for the clothing life, etc. among the three generations and the 3D-garment design images among the three 3D-body models did not have significantly different values. The sixty 3D-garment design images (20 designs×3 models) were calculated by using the Principal Component (PC) Analysis. The principal components PC1 to PC2 were extracted: PC1 A1 and A5 -A3 Image Styles, PC2 A4 - A2 Image Styles. © 2009 Jpn.Res.Assn.Text.End-Uses.