基于用户的家具设计目标定位分析系统研究

发布时间：2018-05-13 08:00

本文选题：家具设计定位 + 用户生活形态特征　；参考：《南京林业大学》2013年博士论文

【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。
[Abstract]:In order to improve the positioning accuracy of furniture design, design efficiency and design quality, save the time cost and manpower cost of furniture design and research, reduce the development cycle of furniture products, based on the research method of user research and quantitative analysis, this paper studies the life form characteristics of home and furniture users, based on the special life form. The furniture design target location analysis system program is developed.
The main results of this paper are as follows:
(1) the methods of extracting and checking the characteristics of the life form of the furniture users were put forward, and the practical consciousness, economic benefit consciousness, personality fashion consciousness, work achievement consciousness, quality pursuit consciousness, healthy life consciousness, financial awareness, advertising media consciousness, brand awareness, traditional family consciousness and ten forms of life form factors of furniture users were extracted.
(2) the method of clustering of furniture users based on the characteristics of life forms is put forward, and the six living groups, which can be divided into "steady seeking type", "cause type", "fashion trend", "diligent and thrifty type", "traditional life type" and "quality life type", have been obtained, and the cluster center data of various groups are obtained. The distribution and user characteristics of different groups in occupations, professions, personal income, educational level, sex and age.
(3) the construction method of the influence factor model of furniture design based on user and the method of solving the weight of furniture design factor of the user group are put forward. The weight coefficient of each user group on furniture design factor is obtained, and the comprehensive influence factor model of furniture design based on the user's attention is constructed.
(4) this paper puts forward a method for the user to pay attention to the intention factor of the furniture design factor and the method of user division; it gets the attention intention of the appearance, the interest of style, the intention of safety and environmental protection, the attention intention of the fashion trend, the intention of the new personality, the reasonable attention intention of the structure, the intentionality of the economic and durable attention, the comfortable and practical interest intention, and the comfortable and practical interest intention, In the installation of attention intention, brand driver attention intention, multi-functional attention intention, advertising drive concerns the intention factor of twelve users to furniture design factors; the user is divided into "appearance perceptual oriented", "affordable home oriented", "advertising word of mouth guide", "home quality oriented", "fashion personality". "Oriented", "rational and practical oriented" group of six user groups, and get the cluster center data of each group. Compared with the two types of user groups, it is found that the population distribution of the group is correlated with the same batch of user samples under different classification basis, and the population distribution with similar characteristics is relative relative to the population distribution. High.
(5) the structure and algorithm of the user based furniture design target location analysis system are constructed. The development of the system program and the interface planning and design are completed with VisualBasic2008, and the test operation of the system is completed.

【学位授予单位】：南京林业大学
【学位级别】：博士
【学位授予年份】：2013
【分类号】：TS664.01

【参考文献】