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Many online movie sites or music sites offering recommendation services employ a collaborative filtering technique archived by analyzing customers' satisfaction rating, evaluation, search history, download records etc. This approach, however, has difficulty with reflecting individuals' perosonalities and their own taste for the recommendation. Exploiting such emotional data to a film recommendation remains a challenge in the present. To solve this, we propose an emotion words selection method usable for the collaborative filtering. Through the proposed emotion-based collaborative filtering method, a recommendation system can exploit individuals' emotional differences on the movie items for the recommendation process. This approach was proven by gathering users' emotion words selection and satisfaction rating data on several films, and comparing them with MBTI (Myers-Briggs Type Indicator) that is a representative psychometric test for measuring psychological preferences and personalities. This study assumes that individual's movie taste is much related to the personalities classifiable by MBTI types, because movie taste and evaluation on a movie is influenced by individual's subjective matters. The results of this study show that emotion words based collaborative filtering method is appropriate for extracting users' MBTI types. Thus, if a recommendation service offers users films based on their MBTI types, the users can be recommended more customized films.

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Robots for communication are developed extensively with emphasis on sympathy. This study deals with the growth of character and the control of its operation accordingly. The child has time to be alone with the nature of his/her robot friend. The child can interact with other people's emotional expressions through a robot. Step by step, the robot character will grow as the child grows. Through design studies, qualitative processes such as {customer experience audit, eye tracking, mental model diagrams, semantic differences} have been executed for the results. The participatory behavior research approach through user travel is mapped from the user's lead to the evidence-based design. This research considers how the synthetic characteristics can be applied to the physical growth of robot toys through the product design process. With the development of robot toy "Buddy", we tried making two variations on the robot to achieve recognizable growth. (1) An one-dimensional height scaling and (2) facial expression including the distance between two eyes on the screen. Observations represented children's reactions when "Buddy" was released to with the children. As an independent synthetic character, the robot was recognized by children who had the designed function. Robots for training may require more experimentation.