Yuichiro Takeuchi

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—Recommendation systems are now widely used in online shopping sites, but so far there have been few attempts of applying them to real-world shopping. In this paper we propose a novel real-world recommendation system, which recommends shops to users based on their individual preferences and needs, estimated by analyzing their past location history acquired(More)
In this paper, we propose a user-adaptive video summarization system which accounts for individual preferences by analyzing contents of the user's personal photo library. Nowadays, it is common practice for people to keep thousands of photos in their PCs, taken with their digital cameras. Due to the similarities in characteristics between video and still(More)
We developed a new system called <i>CarettaKids</i> that supports face-to-face collaborative learning by children. <i>CarettaKids</i> uses a sensing board based on the Radio Frequency Identification (RFID) technology to support collaboration in a shared space, and the Personal Digital Assistant (PDA) device to support activity in personal spaces. We also(More)
In this paper, we propose a video summarization system which takes into account users' individual preferences by using their personal photo libraries. Nowadays it is common, especially among people of younger generations, to store thousands of photos inside their PCs and manage them using software such as iPhoto and Picasa. These personal photo libraries(More)
In this paper we describe how future office environments can benefit from the addition of <i>weightless walls</i> virtual, sound blocking walls created using headsets. We particularly focus on exploring how different interaction techniques can be employed to efficiently create, erase, or edit the layouts of these walls, and envisioning how they could impact(More)