基于消费者认知的产品形态偏好预测系统

Product Form Preference Prediction System Based on Consumer's Cognition Model

为把握终端消费者对产品形态的偏好及有效辅助设计师进行协同设计,运用家访谈、影响汽车外观造型特征的眼部跟踪观察实验、影响产品意象认知的造型特征提取实验、关键造型特征与产品意象认知关系的量化实验等方法,获得影响汽车造型意象的关键造型特征主要为车灯、侧面轮廓线以及进风格栅,得到了汽车风格与造型特征之间的关系矩阵,并进一步建立了基于特征匹配的产品意象认知模型.最后,应用该模型,开发了汽车草图设计原型系统.

A design model-PICM （Product Image Cognition Model） was introduced for clarifying the relations between customers＇ emotional needs and product form. This is the first time to use the multi-experiment method to create the product image cognition model based on feature-matching, such as experts visit, eye track observing experiments influencing the car＇s appearance features, the features extraction experiments influencing product image cognition, the quantitative relation experiments between key formal features and product image cognition. The computer aided automobile sketch design system based on image cognition model was implemented.