A KANSEI Model to Estimate the Impression Ratings of Spectacle Frames on Various Faces Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, CREST, Japan Science and Technology Agency

Format:

Conference/Event

Author/Creator:

Mochimaru, Masaaki, author.

Conference Name:

2005 Digital Human Modeling for Design and Engineering Symposium (2005-06-14 : Iowa City, Iowa, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

The aim of this study was to develop a KANSEI model that estimates the impression ratings of various combinations of faces and spectacle frames. Such a KANSEI model can be used by a computer system at a retail shop to recommend a suitable frame, using physical characteristics of a consumer's face and spectacle frames. We selected 14 KANSEI words (e.g., "cheerful," "intelligent") to describe the impression of each face/frame combination. We generated 96 CG images (8 representative face models 12 frames). These images were shown to 75 female observers (students at a women's university), and impression ratings for 14 KANSEI words were obtained for each image using visual analog scales. Results of ANOVA indicated significant inter-face and inter-frame variance (p<0.01) for 11 KANSEI words. Thus, we have developed a computational model for estimation of impression ratings from physical characteristics of faces and frames

Notes:

Vendor supplied data

Publisher Number:

2005-01-2693

Access Restriction:

Restricted for use by site license