Abstract:

This lecture introduces a governmental project to develop a recommendation system, which provides products to customers, recognizing their ‘kansei’ desires, aiming at supporting sales expansion and new products development in traditional crafts in Ishikawa prefecture, Japan. For this, the project are developing a technique for selecting and providing information according to individual person’s ‘kansei’ desire, by developing a ‘kansei’ search engine and an information aggregation system, in which a ‘kansei’ data analysis system and a product data base system play central roles. In the future, this technique will be used in developing a technique to measure and evaluate peoples’ feeling or ‘kansei’, or a technique to select and provide ‘kansei’ information according to individual person’s preference, ability, or characteristics. Research contents include: (1) Validate an information aggregation method, which integrates physical information and ‘kansei’ information, based on the data from a large-scale ‘kansei’ evaluation experiment. (2) Develop a technique of target-oriented decision analysis, which takes into account context information in addition to physical and ‘kansei’ information. (3) Based on the above techniques, develop a recommendation system which includes a kansei search engine, an information aggregation system, and a data base system of traditional crafts in Ishikawa prefecture.