本文選題：家具設(shè)計定位 + 用戶生活形態(tài)特征��； 參考：《南京林業(yè)大學(xué)》2013年博士論文

【摘要】：本研究以提高家具設(shè)計定位準(zhǔn)確度和設(shè)計效率及設(shè)計品質(zhì)、節(jié)省家具設(shè)計定位調(diào)研時間成本和人力成本、縮短家具產(chǎn)品開發(fā)周期為目的，以用戶調(diào)研為基礎(chǔ)，采用定量分析的研究方法，研究了家具用戶的生活形態(tài)特征、基于生活形態(tài)特征的家具用戶分群、用戶對家具關(guān)注意向等幾個與家具設(shè)計目標(biāo)定位密切相關(guān)的問題，并完成了家具設(shè)計目標(biāo)定位分析系統(tǒng)程序的開發(fā)。 論文主要研究結(jié)果如下： （1）提出了家具用戶生活形態(tài)特征的提取和檢驗方法；提取了實用意識、經(jīng)濟(jì)實惠意識、個性時尚意識、工作成就意識、品質(zhì)追求意識、健康生活意識、理財意識、廣告媒介意識、品牌意識、傳統(tǒng)家庭意識十個家具用戶生活形態(tài)特征因子。 （2）提出了基于生活形態(tài)特征的家具用戶分群方法；得出了可將用戶分成“穩(wěn)健求進(jìn)型”、“事業(yè)理性型”、“時尚潮流型”、“勤儉持家型”、“傳統(tǒng)生活型”、“品質(zhì)生活型”六個生活形態(tài)群族，并得到了各群族的聚類中心數(shù)據(jù)，以及各群族在職業(yè)、從事行業(yè)、個人收入、文化程度、性別和年齡等方面的人口分布情況和用戶特點。 （3）提出了基于用戶的家具設(shè)計影響因子模型的構(gòu)建方法和用戶群族的家具設(shè)計因子關(guān)注權(quán)重的求解方法；求得了各用戶群族對家具設(shè)計因子的關(guān)注權(quán)重系數(shù)，構(gòu)建了基于用戶關(guān)注度的家具設(shè)計綜合影響因子模型。 （4）提出了用戶對家具設(shè)計因素關(guān)注意向因子提取與用戶分群方法；得到了外觀造型關(guān)注意向、風(fēng)格品味關(guān)注意向、安全環(huán)保關(guān)注意向、時尚潮流關(guān)注意向、個性求新關(guān)注意向、結(jié)構(gòu)合理關(guān)注意向、經(jīng)濟(jì)耐用關(guān)注意向、舒適實用關(guān)注意向、便于安裝關(guān)注意向、品牌驅(qū)動關(guān)注意向、多功能關(guān)注意向、廣告驅(qū)動關(guān)注意向十二個用戶對家具設(shè)計因素的關(guān)注意向因子；將用戶分成了“外觀感性導(dǎo)向型”、“實惠居家導(dǎo)向型”、“廣告口碑導(dǎo)向型”、“家居品質(zhì)導(dǎo)向型”、“時尚個性導(dǎo)向型”、“理性實用導(dǎo)向型”六個用戶群族，并得到了各群族的聚類中心數(shù)據(jù)；對比兩種用戶分群方式，發(fā)現(xiàn)同批用戶樣本在不同分類依據(jù)下，分得群族的人口分布具有一定的相關(guān)性，且具有相似特性的用戶群人口分布關(guān)聯(lián)性相對較高。 （5）構(gòu)建了基于用戶的家具設(shè)計目標(biāo)定位分析系統(tǒng)的結(jié)構(gòu)體系與算法；利用VisualBasic2008完成了系統(tǒng)程序的開發(fā)與界面規(guī)劃設(shè)計，，并完成了系統(tǒng)的測試運行。
[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.

【學(xué)位授予單位】：南京林業(yè)大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2013
【分類號】：TS664.01

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