EGM과 Neural Network을 이용한 Website 감성사용성 분석시스템 프로토타입 구축

Development of Prototype Kansei Usability Website Evaluation System based on EGM and Neural Network

This paper described the developed website usability evaluation system in terms of Kansei engineering using neural network. Developed system simultaneously operates with the MS Internet Explorer by entering the target URL for usability evaluation, and the results are learned using neural network. We firstly derived the Kansei adjectives and website usability factors and they were matched by the correspondence analysis. Then, highly corresponded adjectives were implemented on the system for the Kansei evaluation. Finally, the results showed the appropriate efficiency of developed algorithm and system for the website evaluation. If more subjects were used for the system learning, the efficiency of system could be improved.