摘要
校园户外家具造型趋同化严重,为探寻符合用户审美造型的校园户外家具,从感性意象理论角度出发,通过市场调研、实地调研、网络调研等方法搜集大量的校园户外家具样本和相关的感性意象词汇,以系统聚类和K-mean均值聚类法确定不同类型的代表样本,将筛选出的7个代表样本整理形成问卷并进行相关感性意象词汇的筛选。通过语义差异法获取用户感性意象的评价结果,将问卷数据导入SPSS软件进行主成分分析,因子降维后得到3个主成分因子,通过person分析得出影响校园户外家具造型设计的主要感性意象词汇以及用户偏好的样本造型,最后提出校园户外家具的造型设计策略。感性意象理论可以帮助设计师科学地找到校园户外家具感性设计的目标,为今后校园户外家具的设计开发提供创新思路。
In order to identify campus outdoor furniture designs that align with users'aesthetic preferences,this study ad‐opted an emotional image theory approach.Through market research,field investigations,and online surveys,the re‐searchers collected a large number of campus outdoor furniture samples and associated emotional vocabulary.Using hier‐archical clustering and K-mean clustering methods,the team determined different types of representative samples.A questionnaire was then developed featuring these 7 representative samples,which was used to screen for relevant emo‐tional vocabulary with participants.The semantic differential method was employed to obtain usersevaluations of the emotional images evoked by the furniture designs.The questionnaire data was imported into SPSS software and subjected to principal component analysis.This process yielded three principal component factors after dimensionality reduction.Person analysis was then conducted to identify the key emotional vocabulary influencing the design of campus outdoor furniture,as well as the sample designs preferred by users.Finally,design strategies for campus outdoor furniture were proposed.Emotional image theory can assist designers in scientifically determining the target for the emotional design of campus outdoor furniture,thereby providing innovative ideas for the future design and development of these products.
作者
刘莹莹
关惠元
LIU Yingying;GUAN Huiyuan(College of Furnishings and Industrial Design,Nanjing Forestry University,Nanjing 210037,China)
出处
《家具》
2024年第5期77-81,55,共6页
Furniture
基金
教育部产学合作协同育人项目(201901084001)
南林-玛格校企合作项目(028104514)。
关键词
校园户外家具
聚类分析
感性意象词汇
语义差异法
造型偏好
outdoor furniture
cluster analysis
emotional image vocabulary
semantic differential method
design pref‐erence