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We propose a direct anthropomorphization to improve human-agent interaction. It agentizes an artifact by attaching humanoid parts to it. There have been many studies that can provide valuable information on using spoken directions and gestures via anthropomorphic agents such as CG (computer graphics) agents and communication robots. Our method directly anthropomorphizes the artifact through robotic...
This paper investigates a communication model which explains what behaviors make humans think that they share information with a robot. We focus on the motion of a robotpsilas gaze which is synchronized with a humanpsilas gesture and a gaze direction, and propose a communication model for a robot to share real world information with a human. We have conducted a psychological experiment and reveals...
The paper proposes a new middleware named semantic sensor network which connects the variety of physically grounded applications to the information of the real world. Semantic sensor network infers and describes the state of an environment using logical expressions. The target which semantic sensor network describes is an environment where wireless sensor nodes are attached to daily items. The remarkable...
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