Design and Development of KANSEI Model Database System

Most of the research and development on KANSEI databases are mainly focused on information retrieval systems assuming a specific content and situation. These databases cover the KANSEI for evaluation of contents. In these approaches, KANSEI is regards as correspondence between specified contents and these evaluations by each user. User’s KANSEI shows different features for different situations and for different kind of contents. Therefore, we need an integrated database mechanism and an information processing mechanism that can manage multiple KANSEI models suitable for each situation and for each kind of contents. In this paper, we consider multiple KANSEI models for each user that are designed for each situation and for each kind of contents. We propose architecture for the KANSEI model database that manages these models. Our database creates, updates, and retrieves each user’s KANSEI models according to each situation and each kind of contents. Our system gives a common platform for content-based retrieval and recommendation of contents, as well as environment control of living sphere.