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A KANSEI Model to Estimate the Impression Ratings of Spectacle Frames on Various Faces
Technical Paper
2005-01-2693
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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Authors
- Masaaki Mochimaru - Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, CREST, Japan Science and Technology Agency
- Makiko Kouchi - Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, CREST, Japan Science and Technology Agency
Topic
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.Also In
References
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