目的 探讨仿生家具设计特征对消费者情感反应的作用机制,构建基于模糊语义计算的“设计特征-情感共鸣”分析模型,以揭示差异性、整合性与互动性三维特征对情感体验的影响路径。方法 通过对477名消费者开展问卷调查,收集其对仿生家具形态、结构、功能与交互体验的感知与情感反馈数据。问卷采用五点李克特量表,并将评分转化为三角模糊数进行模糊语义计算;随后运用探索性因子分析验证量表结构效度,并采用有序Logistic回归模型分析三维设计特征对十类情感反应的影响方向与显著性。结果 差异性、整合性与互动性三维特征均对消费者情感反应具有显著正向影响（P<0.05）。其中,差异性对满意度与愉悦感影响最强（β=0.503）,整合性显著促进舒适度与信任感（β=0.317）,互动性增强情感参与与使用体验（β=0.183）。模型拟合优度（χ2）与Nagelkerke R2（0.133~0.271）均表明模型解释力较高。结论 仿生家具设计的情感共鸣机制呈现“感知-体验-行为”的层级递进关系,差异性激发视觉感知兴趣,整合性维持功能协调与审美平衡,互动性深化情感参与与体验满意。验证了模糊语义计算在情感化设计分析中的可行性,但仍受样本地域集中与主观测量局限。未来研究将结合多源情感数据与生理反馈,以构建更具预测力的仿生设计情感计算模型。
Abstract
The work aims to investigate the mechanism through which bionic furniture design features influence consumers' emotional responses, and construct a "design features and emotional resonance" analysis model based on fuzzy semantic computation to reveal how the three dimensions of distinctiveness, integration, and interactivity affect emotional experience. A questionnaire survey of 477 consumers was conducted to collect data on their perceptions and emotional feedback toward the form, structure, function, and interaction of bionic furniture. Responses were measured with a five-point Likert scale and then converted into triangular fuzzy numbers for fuzzy semantic computation. Exploratory factor analysis was applied to verify the structural validity of the scale, and an ordinal logistic regression model was used to analyze the direction and significance of the effects of the three design dimensions on ten categories of emotional responses. Distinctiveness, integration, and interactivity all had significant positive effects on consumers' emotional responses (p<0.05). Distinctiveness exerted the strongest influence on satisfaction and pleasure (β=0.503), integration significantly enhanced comfort and trust (β=0.317), and interactivity improved emotional engagement and user experience (β=0.183). The model fit index (χ2) and Nagelkerke R2 (0.133-0.271) indicated strong explanatory power. The emotional resonance mechanism of bionic furniture design follows a hierarchical process of "perception, experience, and behavior". Distinctiveness stimulates visual interest, integration maintains functional and aesthetic harmony, and interactivity deepens emotional engagement and satisfaction. The study confirms the applicability of fuzzy semantic computation in emotional design analysis, though it remains limited by regional sampling and subjective evaluation. Future research will integrate multimodal emotional data and physiological feedback to establish more predictive computational models for bionic design.
关键词
仿生家具设计 /
模糊语义计算 /
有序Logistic回归 /
情感共鸣 /
设计特征
Key words
bionic furniture design /
fuzzy semantic computation /
ordinal logistic regression /
emotional resonance /
design features
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基金
河北省文化艺术科学规划和旅游研究项目（HB25-YB077）
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