Kazuyuki Fujita

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Recently, small and highly efficient personal digital assistants such as cellular phone are developed, and mobile communications are being indispensable in life. The ad hoc network is observed in such circumstances. However, conventional routing algorithms that keep the optimum routing is difficult to perform flexible routing in dynamic topology network,(More)
In Multi-Agent Reinforcement Learning, each agent observe a state of other agents as a part of environment. Therefore, the state space is exponential in the number of agents and learning speed significantly decrease. Modular Q-learning [6] needs very small state space. However, the incomplete observation involves a decline in the performance. In this paper,(More)
—In this paper, we investigate the effectiveness of the records of user's activities in Twitter, which is a popular social media, for estimating user's depressive tendency. We construct multiple regression model to estimate user's depressive tendency from the frequencies of words used by the user. We perform experiments to estimate participants' depressive(More)
We propose a room-shaped information environment called Ambient Suite that enhances communication among multiple participants. In Ambient Suite, the room itself works as both sensors to estimate the conversation states of participants and displays to present information to stimulate conversation. Such nonverbal cues as utterances, positions, and gestures(More)
This paper proposes a novel and efficient multi-focus scroll interface that consists of a two-step operation using a con-tents distortion technique. The displayed content can be handled just like an elastic material that can be shrunk and stretched by a user's fingers. In the first operation, the us-er's dragging temporarily shows the results of the(More)