Abstract

The consumer market of products has gradually changed from enterprise-oriented to users-oriented. Research on products from the perspective of users emotional needs is also on the rise. This study extracts the attractive factors of the product through the evaluation grid method (EGM) to improve product form attraction. Then, in order to explore the users’ satisfaction of product appeal factors and users’ feelings and preferences are more complex and changeable, so it is difficult to grasp and extract. The fuzzy Kano model is introduced to capture the emotional factors of the human. This is because the index values under the fuzzy Kano model contain more information above the index value under the traditional Kano model, so that they can accurately capture their emotions and the quality of the users’ key needs, and then judge the quality attributes of each image semantics. Furthermore, the quality attributes of each image semantics are judged, and the image semantics expressed as excitable requirements are selected to improve users satisfaction. Therefore, this research uses the research method of evaluation grid method (EGM) and the fuzzy Kano model to explore the users preference factors of electric bicycle, and then enhance the product’s form attractiveness for electric bicycle, this research provides a new way for the optimal design of electric bicycle. Thus actively guiding the designer to carry out the innovative design of the electric bicycle.

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