基于用户的家具设计目标定位分析系统研究
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摘要
本研究以提高家具设计定位准确度和设计效率及设计品质、节省家具设计定位调研时间成本和人力成本、缩短家具产品开发周期为目的，以用户调研为基础，采用定量分析的研究方法，研究了家具用户的生活形态特征、基于生活形态特征的家具用户分群、用户对家具关注意向等几个与家具设计目标定位密切相关的问题，并完成了家具设计目标定位分析系统程序的开发。
论文主要研究结果如下：
（1）提出了家具用户生活形态特征的提取和检验方法；提取了实用意识、经济实惠意识、个性时尚意识、工作成就意识、品质追求意识、健康生活意识、理财意识、广告媒介意识、品牌意识、传统家庭意识十个家具用户生活形态特征因子。
（2）提出了基于生活形态特征的家具用户分群方法；得出了可将用户分成“稳健求进型”、“事业理性型”、“时尚潮流型”、“勤俭持家型”、“传统生活型”、“品质生活型”六个生活形态群族，并得到了各群族的聚类中心数据，以及各群族在职业、从事行业、个人收入、文化程度、性别和年龄等方面的人口分布情况和用户特点。
（3）提出了基于用户的家具设计影响因子模型的构建方法和用户群族的家具设计因子关注权重的求解方法；求得了各用户群族对家具设计因子的关注权重系数，构建了基于用户关注度的家具设计综合影响因子模型。
（4）提出了用户对家具设计因素关注意向因子提取与用户分群方法；得到了外观造型关注意向、风格品味关注意向、安全环保关注意向、时尚潮流关注意向、个性求新关注意向、结构合理关注意向、经济耐用关注意向、舒适实用关注意向、便于安装关注意向、品牌驱动关注意向、多功能关注意向、广告驱动关注意向十二个用户对家具设计因素的关注意向因子；将用户分成了“外观感性导向型”、“实惠居家导向型”、“广告口碑导向型”、“家居品质导向型”、“时尚个性导向型”、“理性实用导向型”六个用户群族，并得到了各群族的聚类中心数据；对比两种用户分群方式，发现同批用户样本在不同分类依据下，分得群族的人口分布具有一定的相关性，且具有相似特性的用户群人口分布关联性相对较高。
（5）构建了基于用户的家具设计目标定位分析系统的结构体系与算法；利用VisualBasic2008完成了系统程序的开发与界面规划设计，并完成了系统的测试运行。
In order to improve the accuracy of furniture design positioning, the design efficiency,thedesign quality, save the time in the furniture design positioning research cost, save the humancost, shorten the furniture product development cycle,this article use the method of quantitativeanalysis to study the lifestyle characteristics of the furniture users, the grouping method base on,the furniture users’ lifestyle of the users, the attention to furniture and so on,and made aprogram of furniture design target positioning analysis system.
The main research results of this thesis are as follows:
(1) Extraction and inspection method of furniture users lifestyle characteristics are presented;the practical consciousness, economical consciousness, personality consciousness, fashionconsciousness, working achievement consciousness, health consciousness, the pursuit of qualitylife consciousness, financial management consciousness, advertising media consciousness, brandconsciousness, the traditional family consciousness are extracted.
(2) The furniture users’grouping base on lifestyle are presented; Concluded is that the userscan be divided into "prudent person","enterprising and rational person","fashionable person"and "thrifty person","traditional person","quality life person" six lifestyle groups, the clusteringcenter data of each group, the career, engaged in the industry, personal income, educational level,gender and age of the population distribution of each group are obtained.
(3) The method of the furniture design influence factors model based on users to buildingsand the solution of the weight coefficient of users’attention to the furniture design factors’isproposed; each user groups attention to the furniture design factor weight coefficient is obtained,the comprehensive influence factor model of users’interest to the furniture is constructed.
(4) The extracting of users’attention to furniture design factors and method users' groupingis proposed; put forward12users attention to the furniture design factors, respectively furnitureexterior styling attention, furniture style and grade attention, furniture safety and environmentalprotection attention, furniture fashion attention, furniture personality attention, furniture structureattention, economic and durable attention, furniture install attention, furniture brand attention,furniture advertising attention; to divided the users into six groups respectively "appearanceoriented","affordable home oriented","advertising oriented","personality oriented","householdquality","practical rational orientation". The clustering center data of each group obtained.Comparing the two methods of grouping, there are relationships between the samples of users’indifferent classifications.And the correlation of the population distribution with Similar featuresgroups are relatively high.
(5) The structure and algorithm of furniture design target positioning analysis system wasbuilt. The interface and code was built by Visual Basic2008, can be running in Windows.
论文主要研究结果如下：
（1）提出了家具用户生活形态特征的提取和检验方法；提取了实用意识、经济实惠意识、个性时尚意识、工作成就意识、品质追求意识、健康生活意识、理财意识、广告媒介意识、品牌意识、传统家庭意识十个家具用户生活形态特征因子。
（2）提出了基于生活形态特征的家具用户分群方法；得出了可将用户分成“稳健求进型”、“事业理性型”、“时尚潮流型”、“勤俭持家型”、“传统生活型”、“品质生活型”六个生活形态群族，并得到了各群族的聚类中心数据，以及各群族在职业、从事行业、个人收入、文化程度、性别和年龄等方面的人口分布情况和用户特点。
（3）提出了基于用户的家具设计影响因子模型的构建方法和用户群族的家具设计因子关注权重的求解方法；求得了各用户群族对家具设计因子的关注权重系数，构建了基于用户关注度的家具设计综合影响因子模型。
（4）提出了用户对家具设计因素关注意向因子提取与用户分群方法；得到了外观造型关注意向、风格品味关注意向、安全环保关注意向、时尚潮流关注意向、个性求新关注意向、结构合理关注意向、经济耐用关注意向、舒适实用关注意向、便于安装关注意向、品牌驱动关注意向、多功能关注意向、广告驱动关注意向十二个用户对家具设计因素的关注意向因子；将用户分成了“外观感性导向型”、“实惠居家导向型”、“广告口碑导向型”、“家居品质导向型”、“时尚个性导向型”、“理性实用导向型”六个用户群族，并得到了各群族的聚类中心数据；对比两种用户分群方式，发现同批用户样本在不同分类依据下，分得群族的人口分布具有一定的相关性，且具有相似特性的用户群人口分布关联性相对较高。
（5）构建了基于用户的家具设计目标定位分析系统的结构体系与算法；利用VisualBasic2008完成了系统程序的开发与界面规划设计，并完成了系统的测试运行。
In order to improve the accuracy of furniture design positioning, the design efficiency,thedesign quality, save the time in the furniture design positioning research cost, save the humancost, shorten the furniture product development cycle,this article use the method of quantitativeanalysis to study the lifestyle characteristics of the furniture users, the grouping method base on,the furniture users’ lifestyle of the users, the attention to furniture and so on,and made aprogram of furniture design target positioning analysis system.
The main research results of this thesis are as follows:
(1) Extraction and inspection method of furniture users lifestyle characteristics are presented;the practical consciousness, economical consciousness, personality consciousness, fashionconsciousness, working achievement consciousness, health consciousness, the pursuit of qualitylife consciousness, financial management consciousness, advertising media consciousness, brandconsciousness, the traditional family consciousness are extracted.
(2) The furniture users’grouping base on lifestyle are presented; Concluded is that the userscan be divided into "prudent person","enterprising and rational person","fashionable person"and "thrifty person","traditional person","quality life person" six lifestyle groups, the clusteringcenter data of each group, the career, engaged in the industry, personal income, educational level,gender and age of the population distribution of each group are obtained.
(3) The method of the furniture design influence factors model based on users to buildingsand the solution of the weight coefficient of users’attention to the furniture design factors’isproposed; each user groups attention to the furniture design factor weight coefficient is obtained,the comprehensive influence factor model of users’interest to the furniture is constructed.
(4) The extracting of users’attention to furniture design factors and method users' groupingis proposed; put forward12users attention to the furniture design factors, respectively furnitureexterior styling attention, furniture style and grade attention, furniture safety and environmentalprotection attention, furniture fashion attention, furniture personality attention, furniture structureattention, economic and durable attention, furniture install attention, furniture brand attention,furniture advertising attention; to divided the users into six groups respectively "appearanceoriented","affordable home oriented","advertising oriented","personality oriented","householdquality","practical rational orientation". The clustering center data of each group obtained.Comparing the two methods of grouping, there are relationships between the samples of users’indifferent classifications.And the correlation of the population distribution with Similar featuresgroups are relatively high.
(5) The structure and algorithm of furniture design target positioning analysis system wasbuilt. The interface and code was built by Visual Basic2008, can be running in Windows.
引文
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