The traditional personalized preferences are limited to sensibility analysis, and the user perceptual preferences of a particular product gotten. The sensibility analysis is subjectivity and instability, and the personal preferences are lack of scientific theoretical basis. The eye movement data is put forward a prediction method of users personalized. The multivariate regression equation is established based on the eye movement data and design elements. The patterns of the batik personalized user preferences are explored, and the weight of different design elements is gotten to obtained different solutions according to different user personalization.%传统的个性化偏好研究仅限于感性分析,获取用户对某一产品的感性偏好.感性分析具有主观性、不稳定性等特点,造成个性化偏好研究缺乏科学理论基础.为此提出一种利用眼动数据预测用户个性化偏好的方法.通过对用户眼动数据和设计要素关系的研究,建立眼动数据和设计要素的多元回归方程,探索用户对蜡染纹样的个性化偏好,并得到不同设计要素的喜好权重,从而针对不同用户制定不同的个性化方案.
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