多元统计在提升用户研究有效性中的应用研究

发布时间：2018-08-12 08:07

【摘要】：伴随着体验经济时代的到来,以用户为中心的体验设计成为产品开发过程中的重要研究方向。本研究以提高用户研究的准确度和有效性,以为产品开发提供方向为目的,以多元统计分析方法为理论基础,采用对用户调研数据进行定量分析的研究方法,提出基于多元统计的用户分析模型,从而得出准确的用户调研分析的结论。本文首先对多元统计理论的具体内容及应用现状进行了回顾,再重点研究因子分析理论、聚类分析理论和多元线性回归理论。另一方面对用户研究的相关理论进行回顾,对用户研究的主要内容以及方法进行分析总结,提出多元统计理论与用户研究结合的应用创新点。基于文中提出的多元统计在提升用户研究有效性的应用点,分别构建基于因子分析的用户差异分析模型、基于聚类分析的用户分群模型以及基于多元线性回归的用户使用意愿分析模型,在不同产品用户研究中均可以参考该模型。考虑到互联网技术的不断发展,智能手机的普及,以手机APP的用户为实例,实践本文提出了研究模型。在用户差异分析中,以用户生活方式差异为分析标准,进行用户问卷调研,并对结果进行因子分析,提炼出八个主要因子并命名,用户生活方式的差异主要体现在这八个因子上。再通过快速聚类法对用户进行分群,最终将用户分为五类,将各个人群的特点加以表述并命名。在对用户使用意愿的分析中,引用了UTAUT模型为调研问卷的设计依据,通过回归分析得出各个影响因素所占权重大小,以更好的指导产品开发设计。本文的研究为用户研究的定量分析提供了较为系统的研究方法,将多元统计理论应用于设计前期用户研究的三个方面,以提高用户研究的准确性,提升用户研究结果的有效性。
[Abstract]:With the advent of the experience economy era, the user-centered experience design has become an important research direction in the process of product development. The purpose of this study is to improve the accuracy and effectiveness of user research and to provide a direction for product development. Based on the theory of multivariate statistical analysis, the research method of quantitative analysis of user survey data is adopted. The user analysis model based on multivariate statistics is put forward, and the conclusion of user investigation and analysis is obtained. In this paper, the specific contents and application status of multivariate statistical theory are reviewed, and then the factor analysis theory, cluster analysis theory and multivariate linear regression theory are studied. On the other hand, the related theories of user research are reviewed, the main contents and methods of user research are analyzed and summarized, and the application innovation of combining multivariate statistical theory with user research is put forward. Based on the application points of multivariate statistics proposed in this paper to improve the effectiveness of user research, a user difference analysis model based on factor analysis is constructed. The user clustering model based on clustering analysis and the user willingness analysis model based on multivariate linear regression can be referred to in different product user studies. In view of the continuous development of Internet technology and the popularity of smart phones, this paper puts forward a research model based on the example of mobile phone APP users. In the user difference analysis, the user's life style difference is taken as the analysis standard, the user questionnaire is investigated, and the result is analyzed by factor analysis, eight main factors are extracted and named. The difference of user life style is mainly reflected in these eight factors. Then the users are divided into five groups by fast clustering method, and the characteristics of each group are expressed and named. In the analysis of the user's willingness to use, the UTAUT model is cited as the design basis of the questionnaire, and the weight of each influencing factor is obtained by regression analysis, so as to better guide the product development and design. The research in this paper provides a systematic research method for quantitative analysis of user research. The multivariate statistical theory is applied to three aspects of user research in the early stage of design in order to improve the accuracy of user research and enhance the effectiveness of user research results.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB472

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