基于语义差分法的家居CMF对用户情绪影响研究与优化设计——以小户型单身公寓厨房场景为例
Research and Optimization Design on the Impact of Home CMF on User Emotions Based on Semantic Difference Method—Taking the Kitchen Scene of a Small Single Apartment as an Example

目的：探索CMF对用户的情绪影响，在此基础上总结出一套优化设计方法。方法：分析用户的情绪特点和需求，以小户型单身公寓厨房场景为例，详细阐述了家居CMF设计方法，了解小户型单身公寓厨房家居环境特点和潜在的情绪影响因素，设计出基本符合用户情感需求的色彩与饰面方案作为智能化厨房家居环境模板。根据该家居环境模板，通过调查分析等多种方法确定出模板的典型样本和关键感性词汇。为了量化用户的感性认知，可以结合语义差分法并计算典型样本感性词汇的平均值，使用SPSS软件进行因子分析和主成分分析，以进一步分析和解释这些数据，最后得到典型样本感性词汇数据的公因子方差图、解释的总方差图、碎石图和成份矩阵图，提取出“舒缓的”、“亲切的”共2个用户主要关注的感性词汇，最终给出该场景下厨房家居环境的优化设计方案。结论：运用该方法设计的小户型单身公寓厨房家居环境满足感性需求的目标，为家居产品的设计与改进提供了指导。
Purpose: To explore the emotional impact of CMF on users, and based on this, summarize a set of optimization design methods. Methods: To analyze the emotional characteristics and needs of users. Taking the kitchen scene of a small single apartment as an example, this paper elaborates on the home CMF design method, understands the characteristics of the kitchen home environment and potential emotional influencing factors in small single apartments, and designs a color and decoration scheme that basically meets the emotional needs of users as an intelligent kitchen home environment template. Based on the home environment template, typical samples and key emotional vocabulary of the template were determined through various methods such as investigation and analysis. In order to quantify the user’s perceptual cognition, the semantic difference method can be combined and the average value of typical sample perceptual vocabulary can be calculated. SPSS software can be used for factor analysis and principal component analysis to further analyze and interpret these data. Finally, the common factor variance map, explained total variance map, gravel map, and component matrix map of typical sample perceptual vocabulary data can be obtained, and two main perceptual vocabulary that users are concerned about, “soothing” and “friendly”, can be extracted. Finally, an optimization design scheme for the kitchen and home environment in this scenario is proposed. Conclusion: The kitchen and home environment of small single apartment units designed using this method meets the goal of emotional needs, providing guidance for the design and improvement of home products.