Interactive Design Recommendation Using Sensor Based Smart Wear and Weather WebBot
Wireless Personal Communications: An International Journal
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To develop high-quality and consumer-oriented sensible textiles and fashion designs, a design expert system using the collaborative filtering personalization technique was set up, and its efficiency with the user interface model was examined. A database for 60 textiles, 41 fashion designs, 28 pairs of sensibility words and connection mechanisms, and a 2-D cyber product visualized model with user-manipulating keys was established. It includes feedback of the recommended fashion design that matches the user's sensibility by using visual element adjustment tools provided by the system. Also, through Type III analysis of variance (ANOVA), the most important design category of developing each sensibility on women's dress was found. For the example of contemporary sensibility, the most effective category was skirt length, then sleeve type, color tone, collar type, and the skirt type. All the styles of each category were positioned in 3-D sensibility, using scores of factor analysis from the factors Contemporary, Adult, and Character. The similarity and difference among the fashion style by positioning in 3-D space of sensibility can be visualized. © 2009 Wiley Periodicals, Inc.