In product design, the product form has a significant effect on the affective response it induces in potential consumers and is also of crucial importance if the product is to achieve commercial success. Intuitively, it seems reasonable to speculate that a consumer’s affective response to a product is dominated by certain critical features of the product form. To extract the product’s specific form features critical to determining consumers’ affective responses, this study proposes a product form feature selection methodology based on a numerical definition–based approach and the consumers’ affective responses. In the proposed methodology, numerical definition–based approach is used to generate an explicit numerical definition of the product form design, and the corresponding consumers’ affective responses (described using single adjectives) are determined by means of a semantic differential experiment. Two consumers’ affective response prediction models are constructed using support vector regression and...
['Hung-Yuan Chen', 'Chih-Chieh Yang', 'Yao-Tsung Ko', 'Yu-Ming Chang', 'Hua-Cheng Chang']
Product form feature selection methodology based on numerical definition–based design