02103nam a2200205   4500000000100000008004100001260005700042653002800099653002700127653001900154653004500173100001100218700001200229700001200241245009700253856015300350490000800503520134400511020004201855                                       d  bSpringer Science and Business Media Deutschland GmbH10aEye movement experiment10aFactor analysis method10aProduct design10aYangliuqing woodblock New Year paintings1 aS. Pan1 aB. Dong1 aR.R. Fu00aProduct Design for Yangliuqing Woodblock New Year Paintings Based on Eye Movement Experiment  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85112027036&doi=10.1007%2f978-3-030-80285-1_44&partnerID=40&md5=12e481ec7009e665c68f3ef9e6c054410 v2593 aThe Yangliuqing woodblock New Year painting in Tianjin is one of the four major New Year paintings [The four major New Year paintings include woodblock New Year paintings in Mianzhu, Yangliuqing in Tianjin, Yangjiabu in Shandong, and Taohuawu in Jiangsu. Woodblock New Year paintings are color-overprinted woodblock New Year decorations that change every year. People put them indoors to wish good luck in the New Year.] in China and has been included in the protection list of “Intangible Cultural Heritage”. However, most of products about Yangliuqing only contain the visual elements directly and are designed for the purpose of decoration. In addition, the traditional paintings can no long reach the modern aesthetic standard. In order to solve this problem, the research aims at collecting and analyzing the eye movement data of products about Yangliuqing. Then, with factor analysis method, the visual image elements of the products were achieved by calculation and filter, finally actualizing the improvement and design for products after element deduction and recombination. The scheme effectively improved the problems existing in the actual design and application of traditional prints, which has certain reference significance for the extraction of visual images and innovative applications in traditional Chinese painting.  a23673370 (ISSN); 9783030802844 (ISBN)