眼动数据与FAHP相结合的产品感性认知测量方法

Product perceptual cognition measurement method based on eye movement data and FAHP

为了更准确地定量评价产品形态美学风格,提出了一种结合生理测量数据与FAHP的产品美学风格评价方法.用准确性更高的生理测量数据替换比较矩阵,进行准则层的优先级分析,完成造型元素对美学偏好的优先级权重计算,进一步结合模糊算法建立一个基于生理测量的更加精确的适用于评价产品美学偏好的评价体系.最后以轨道车辆头部造型为例分析该方法的科学合理性,并与常规研究方法进行对比,结果表明该方法对于产品造型美学风格评价具有较好的适用性.

In order to evaluate the aesthetic style of product form more accurately and quantitatively,an evaluation method of product aesthetic style based on physiological measurement data and FAHP is proposed.By replacing the comparison matrix with more accurate physiological measurement data,the priority analysis of the criterion layer is carried out,and the priority weight of modeling elements on aesthetic preference is calculated.Furthermore,a more accurate evaluation system based on physiological measurement is established,which is suitable for evaluating the aesthetic preference of products.Finally,taking the head shape of rail vehicle as an example,the scientific rationality of the method is analyzed.The results show that compared with the conventional research methods the method has a good applicability for the aesthetic style evaluation of product modeling.