检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:成振波[1,2] 柯善军 魏莹[3] 王彬海 CHENG Zhen-bo;KE Shan-jun;WEI Ying;WANG Bin-hai(Key Laboratory of Advanced Manufacturing Technology for Automobile Parts,Ministry of Education,Chongqing University of Technology,Chongqing 400054;School of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054;School of Communication Art,Chongqing University of Posts and Telecommunications,Chongqing 400065;Samsung Design China,Beijing 100020)
机构地区:[1]重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆400054 [2]重庆理工大学车辆工程学院,重庆400054 [3]重庆邮电大学传媒艺术学院,重庆400065 [4]三星中国设计研究所,北京100020
出 处:《机械设计》2018年第11期117-121,共5页Journal of Machine Design
基 金:重庆市科学技术研究基础资助项目(KJ1500912)
摘 要:为研究汽车造型特征与商务意象之间的关系,提取现有车型样本,对其进行感性工学分析。选取40款现有三厢乘用车车型作为样本,提取关键造型特征并进行归类分组,通过调查用户意象判断建立造型特征的商务意象矩阵。以造型特征作为自变量,以用户商务意象判断作为因变量,通过单因素方差分析关键造型特征对商务意象形成的显著性,得出7项对商务意象影响最为显著的造型特征,并分析了造型特征中各组别对商务意象的作用效果。对意象矩阵的统计学分析揭示了单个造型特征对汽车商务意象的作用,多因素之间的相互作用需要进一步研究。In order to study the relationships between automobile modeling features and business image,the existed model samples were analyzed using kansei engineering.40 existed sedans was taken as the sample to extract key modeling features groups.The business image matrix of modeling feature was set up based on user judgment investigation.The modeling features were set as independent variables,and the user business image judgment was set as dependent variable.The significance of the crucial modeling features on business image was counted by one-way analysis of variance .Seven modeling features affecting business image most were obtained and the effect of each classic feature group was analyzed.The statistical analysis of image matrix revealed that the impact of single modeling feature on business image,and the interaotion between multiple modeling features need further study.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28