摘要
针对汽车仪表盘设计过程中无法有效满足用户需求的问题,提出了基于产品语义分析的仪表盘设计方法。采用词语逆频率加权算法(TF-IWF)提取用户对产品需求评价中的关键词,利用Word2vec词向量模型计算使其向量化;利用K-Means将用户关键词进行聚类,选取高权重的关键词作为产品特征来设计汽车仪表盘。该方法能够有效指导汽车仪表盘造型和界面的特征设计,帮助设计人员更好地把握产品开发方向,满足用户期望,为汽车仪表盘设计研究提供了一种新的思路与方法。
Aiming at issues that user requirements couldn’t be satisfied during design process of automobile dashboard,a design method of automobile dashboard was proposed based on product semantic analysis. Term Frequency-Inverse Word Frequency( TF-IWF) algorithm was applied to extract keywords from user product requirement comments. Word2 vec word vector model calculation was used to make it vectorized. User keywords were clustered by K-Means method. The high-weight keywords were selected as product features to design automobile dashboard. This method could guide automobile dashboard modeling,interface feature design and provide a new effectively. This could a new way of thinking for the design and study of automobile dashborad.
作者
邓昭
张璇
DENG Zhao;ZHANG Xuan(School of Industrial Design,Hubei University of Technology,Wuhan 430068)
出处
《机械设计》
CSCD
北大核心
2020年第7期132-137,共6页
Journal of Machine Design
