Interactive Design Support System by Customer Evaluation and Genetic Evolution: Application to Eye Glass Frame Hideyoshi Yanagisawa 1 and Shuichi Fukuda 1 1 Tokyo Metropolitan Institute of Technology, 6-6, Asahigaoka, Hino, Tokyo, 191-0065, Japan. {hide@exmgfkta, fukuda} .tmit.ac.jp Abstract. To respond to the quickly changing and diversifying customer's requirements, a system for supporting an industrial design where a customer can personally participate in the design process is proposed. Our system uses Interactive Evolutionary Computing (IEC) technique where a customer can express his or her requirement such as a Kansei image by interacting with the system. To demonstrate the effectiveness of our system, we applied it to the design of an eyeglass frame shape. Harmony with the customer's face is an important key factor in the design of an eyeglass frame. In our system, the user evaluates some samples suggested by our system, and then gradually he or she comes to the design he or she likes. The systems' effectiveness was demonstrated through the experiments of user operations and questionnaires. 1 Introduction Human evaluation, such as impression or preferences toward industrial design, depends on time situation and individuals. Generally it is difficult to quantify. With the rapid development of network technology, customer's demands have been changing and diversifying every moment. Those characteristics of human evaluation have become increasingly important due to this situation. In order to answer those demands, one of the solutions is an order made design where a designer listens to and understands each customer's demands and then determines a direction for design. But an order made design has a problem of cost and time. Therefore it is necessary to develop a design support system that can cope with the change and the diversification of customer's demand interactively. In this paper, we introduced an industrial design support system where a customer can participate in the design process and express his or her requirement like a Kansei image by interacting with the computer. In our system, human subjective evaluation toward design samples is regarded as a fitting function and the system calculates suitable design parameters using Genetic Algorithm (GA). The proposed design samples consist of calculated parameters by GA. Through the interaction of generations of design samples and a customer's subjective evaluation, design samples evolve to the customer's required design. These interactive approaches using GA are