Fashion design styles recommended by consumers' sensibility and emotion

Human Factors and Ergonomics In Manufacturing

Volumn 19, Issue 2, 2009, Pages 158-167

  Na, Youngjoo ^a,b  

^a Inha University   (South Korea)

^b NONE   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

3-D SPACE; COLLABORATIVE FILTERING; COLOR TONE; FACTOR ANALYSIS; FASHION DESIGN; HIGH QUALITY; INTERFACE MODEL; PERSONALIZATION; VISUAL ELEMENTS;

EXPERT SYSTEMS; FABRICS; MACHINE DESIGN; REGRESSION ANALYSIS; THREE DIMENSIONAL; USER INTERFACES;

ANALYSIS OF VARIANCE (ANOVA);

EID: 67449089650     PISSN: 10908471     EISSN: 15206564     Source Type: Journal    
DOI: 10.1002/hfm.20143     Document Type: Article

References (14)

1. Basu, C., Hirsh, H., & Cohen, W. W. (1998). Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of 15th National Conference on Artificial Intelligence (pp. 714-720). Madison, WI.
2. Connor, M. O., & Herlocker, J. (1999). Clustering items for collaborative filtering. In Proceedings of ACM SIGIR Workshop on Recommender Systems, Berkeley, CA.
3. Good, N., Schafer, B., Konstan, J., Borchers, A., Sarwar, B., & Riedl, J. (1999). Combining collaborative filtering with personal agents for better recommendation. In Proceedings of the AAAI/IAAI (pp. 439-446). Menlo Park, CA: American Association for Artificial Intelligence.
4. Han, S. B. (1993). A study on the design supporting system for product development based on human sensibility ergonomics. Doctoral dissertation, Korea University, Seoul.
5. IRI Color Institute. (2003). What color is proper? Color Combination. Seoul, Korea: YoungJin Publishing.
6. Jung, K. Y., & Lee, J. H. (2002). Prediction of user preference in recommendation system using association user clustering and Bayesian estimated value. Lecture Notes in Artificial Intelligence, 2557, 284-296.
7. Jung, K. Y., & Na, Y. J. (2004). Developing a textile design recommendation system according to consumer's sensibilities. Journal of the Textile Institute, 95(1-60), 207-216.
8. Jung, K. Y., & Na, Y. J. (2005a). Developing sensibility fashion design system Using collaborative filtering personalization technique based on server-client interaction. Textile Science & Engineering, 42(2), 118-128.
9. Jung, K. Y., & Na, Y. J. (2005b). Effects of design detail types of ladies wear in sensibility & emotion. Journal of Korean Society for Clothing Industry, 7(2), 162-168.
10. Kim, M. J. J. (1996). A study on the human sensibility measurement technology of texture and color coordination. Doctoral dissertation, Hanyang University, Seoul, Korea.
11. Na, Y. J., & Cho, G. S. (2002). Grouping preferred sensations of college students using sementic differential methods of sensation words. Korean Journal of the Science of Emotion and Sensibility, 5(1), 9-16.
12. Na, Y. J., & Han, K.M. (2002). Sensibilities according to the design factors of woven textiles. Korean Journal of the Science of Emotion and Sensibility, 5(3), 29-34.
13. Nagamaji, M. (1996). Kanse Kogaku (Y. M. Kim, Trans.). Ulsan, Korea: Ulsan University.
14. Tranquilo, D. M. (1991). Styles of fashion (M. S. Kim, Trans.). Kyungchunsa, Seoul.