脑电结合行为指标的汽车内饰色彩感性评价

Color Perceptual Evaluation of Automotive Interior Combined with EEG and Behavioral Index

为准确获取用户对色彩感性的评价信息,提高汽车内饰设计的成功率与效率,引入脑电技术,在解析用户的内隐感性信息基础上,对汽车内饰色彩样本进行感性评价研究。首先收集与汽车内饰色彩相关的形容词汇,通过聚类分析获得代表性意象词汇。其次由汽车内饰图片归纳出内饰代表性色相及其空间布局,两两组合形成新内饰色彩样本。接着,内饰色彩样本与代表性词汇建立基于脑电的感性认知实验,并实施感性评价实验。然后,将收集的原始脑电数据与行为数据进行异常值剔除与正向归一化处理,获取标准化数据。最后基于标准化数据应用熵权TOPSIS法,为不同指标进行赋权,并计算样本与意象之间的相对贴近度,得出不同意象下的最佳色彩样本排序。排序结果经专家小组讨论证明客观指标筛选出的方案具有有效性,可作为汽车内饰色彩设计的设计参考。

In order to accurately obtain users'color perceptual needs and improve the success rate and efficiency of automotive interior design,EEG technology is introduced to analyze users'implicit perceptual information.Firstly,collect adjective vocabulary related to automotive interior design,and obtain representative image vocabulary through cluster analysis.The representative hues and spatial layout of the interior are summarized from the pictures of the interior of the automobile.Secondly,two sets of new interior color samples are synthesized and the representative vocabulary establishes an EEG-based perceptual cognitive experiment.Then,the collected original EEG data and behavioral data are processed to eliminate outliers and forward normalization to obtain standardized data.Finally,based on the standardized data,the entropy weight TOPSIS(Technique for order preference by similarity to an ideal solution)method is applied to weight different indicators,and the relative closeness between the sample and the image is calculated,and the best color sample ranking under the disagreement is obtained.The result was discussed by the expert group and proved that the scheme selected by the objective index is effective,which can be used as a design reference for the color design of automotive interiors.