作者: Tianxiong Wang , Liu Yang , Xian Gao , Yuxuan Jin
DOI: 10.1007/978-3-030-49713-2_39
关键词: Product (category theory) 、 Product design 、 Focus group 、 Human–computer interaction 、 Preference 、 Computer science 、 Vocabulary 、 Sample (statistics) 、 New product development 、 Cognition 、 Kansei
摘要: The intelligent electric bicycle, as a means of transportation, is characterized by low pollution, noise and energy saving. Hence, how to actively research, develop promote bicycle an important topic. Meanwhile, consumer groups vary in psychology behavior, they show differences functional preference smart understand identify the between designers users preference, then reduce uncertainties manufacturers on market becomes imperative topic which great significance. In order analyze emotional terms qualitative quantitative manner, this study conducts kansei evaluation designers’ users’ visual feelings for products. model adopts semantic differential carry out analysis surveyed users. standardize cognitive description related product shape style, abstract psychological perception subjects physical characteristics extracted from customers’ natural language. Then, key vocabulary can be via factor focus group. experiment outcome contains 3 typical words are combined with their antonyms form adjective clusters. sample mean statistics approach employed calculate average value subjects’ scores adjectives regarding style. To compare customers products, uses two statistical research methods, that is, T-test correlation analysis. results could explain demonstrate obvious words. Furthermore, result, design image highly matches concluded comes up reflects strong demand experts’ cognition. Accordingly, new effective theoretical framework provided development This not only help views but also significantly increase efficiency interaction communication users, quick accurate orientation.