Research On Interactive Evolution Design Method And Apply For Smart Watch Form Design

With the development of information technology,the design of the partial smart watch starts to change as the rise of smart devices.Although domestic and foreign companies on the smart watches become more and more abundant in functional settings,The function of the watch design tends to more homogeneous,it will lead to the target users tend to be more simple.Therefore,Finding out customers' both emotional and physical needs will make the product stand out.Then,how to design the production perceptually to touch customer has become the problem which needs to be solved immediately.In this paper,from a semantic analysis perspective,it analyzes the features of user's image meaning and designers carried on a preliminary design modeling by the user's image preference of meaning,and deconstructed form destruction by kansei engineering.Then,creating an intelligent watch design system combined interactive genetic algorithm with neutral network.The research in concept phase has two sides:first,providing several researches to study user's image,with the semantic quantitative method,target users were investigated from questionnaire and analyzed the survey result in order to achieve watch figure semantic extraction.Second,analyzed the cognitive model of users and designer,and establish the cooperative design.Designers created a preliminary design library based on user Style Semantics.The design of watch form based on user image mapping was used by Quantification Type I,then,the research demonstrated the effectiveness of design methods by questionnaire and regression model about predicted image.The smart watch form design system based on interactive genetic algorithm,First,the sculpt parts based on the sculpt library are encoded,then the fitness of each part of evolutionary individuals is introduced into the analysis result of users' preference.In consideration of impact on the error of design,incremental learning based on neural network is used which can directly execute the machine computation instead of the artificial evaluation when users feel fatigue.automotive evaluation based on the neural work training and users' evaluation make up the interactive system,the system created watch form designs,which would meet users' needs and help designers to further improve the design.Through the watch examples are illustrated,the result can be concluded that the interactive genetic algorithm based on neural network can effectively meet the users' individual needs,bridge recognition gap between users and designers,and save design time and cost.