A KANSEI Model to Estimate the Impression Ratings of Spectacle Frames on Various Faces 2005-01-2693
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.
Citation: Mochimaru, M. and Kouchi, M., "A KANSEI Model to Estimate the Impression Ratings of Spectacle Frames on Various Faces," SAE Technical Paper 2005-01-2693, 2005, https://doi.org/10.4271/2005-01-2693. Download Citation
Author(s):
Masaaki Mochimaru, Makiko Kouchi
Affiliated:
Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, CREST, Japan Science and Technology Agency
Pages: 8
Event:
2005 Digital Human Modeling for Design and Engineering Symposium
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Computer simulation
Frames
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