基于用户评价数据的电动汽车造型意象决策模型

Electric Vehicle Styling Image Decision Model Based on User Evaluation Data

为解决电动汽车设计过程中用户情感和造型意象二者之间认知机制问题,提升企业对造型意象决策能力,降低电动汽车开发风险,提出了一种基于用户评价数据的电动汽车造型意象决策模型。该决策模型首先运用网络爬虫方法获取研究样本的用户评价数据,并对评价数据进行预处理、关键词提取和词频汇总;然后采用情感分析算法获取用户评价数据当中关键词的情感值,作为用户认知情感评价得分,并对研究样本进行造型特征要素编码与参数化设定,进而构建造型特征要素与用户认知情感之间的映射关系。同时以“时尚”造型意象为例进行了案例设计,验证该决策模型的可行性。研究结果表明:该决策模型能帮助企业更快找到用户对电动汽车造型意象不同属性的关注程度,辅助设计人员快速决策出造型意象设计目标,提升设计效率从而缩减项目周期。

In order to solve the problem of the cognitive mechanism between user emotion and styling image in the process of electric vehicle design,improve the company’s decision-making ability on styling imagery,and reduce the risk of electric vehicle development,an electric vehicle styling image decision model based on user evaluation data was proposed.The decision model first uses the web crawler method to obtain user evaluation data of research sample,and performs preprocessing,keyword extraction,and weight calculation on evaluation data;then uses sentiment analysis algorithm to obtain the sentiment value of the keywords in user evaluation data,as the user identification emotion evaluation score;encode and parameterize the modeling feature elements of research samples,and then construct the mapping relationship between the modeling feature elements and user’s cognitive emotion.The“fashion”modeling image was taken as an example to design a case to verify the feasibility of the decision-making model.The research results show that the decision-making model can not only help companies quickly find user’s attention to the different attributes of electric vehicle styling images,but also assist designers to quickly decide on styling image design goals,improve design efficiency,and reduce project period.