多维变量感性工学模型构建及其性能评估

Construction and Performance Evaluation for Multi-dimensional Variable KE Model

针对传统1维变量感性工学模型实际应用价值不高的问题,提出了多维变量感性工学模型构建方法。构建产品多维造型特征空间和情感意象认知空间,再判定多维造型特征空间主特征,并对主特征进行参数化处理,运用多元回归分析多维造型特征空间与感性设计空间映射函数关系并构建产品的形、色、音、质及相关关系元件的多维变量感性工学模型。以数控机床造型设计为例对模型构建方法进行应用,并通过验证实验和对比实验对其性能进行评估,验证实验用于评估其有效性,对比实验用于评估其优越性。实验结果表明,多维变量感性工学模型具有更高的模型拟合度,更符合人们的实际认知,性能更佳,因此能更好地指导产品情感设计。

To improve the practical application value of the traditional one-dimensional variable KE model,the method of constructing multi-dimensional variable kansei engineering（ MVKE） model was proposed. Firstly,the space of multi-dimensional modeling features（ MMFs） and emotion perception were set up. Next,the main features were determined and parameterized. Then,the mapping function relationship between the space of MMFs and kansei design was analyzed and the MVKE model based on the form,color,sound,material and related components of product was constructed by multiple regression analysis method. Finally,the method of the model construction and the performance evaluation of the model were described by a case of numerical control machine tools form design. The performance of the MVKE model was evaluated by validation experiment and comparative experiment. The validation experiment was used to evaluate the practicability of the model by comparing the values of the prediction and user survey. The comparative experiment was used to evaluate the accuracy between the one-dimensional variable KE model and the MVKE model by judging their goodness of fit. Experimental results revealed that the MVKE model has more excellent performance. It is more according with people＇s cognitive style,therefore it can aid emotional design effectively.