Natural human-robot interaction based on modeling behavior and information exchange

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We conducted studies toward realizing a robot that naturally interact with people. We developed a computational model of robot behavior that leads to feelings of "being together" using the robot's body position and orientation, in which people's proxemic behavior in joint attention situations is reproduced by detecting a partner's attention shift and appropriately adjust its body position and orientation in establishing joint attention with the partner. Further, we investigated the influence of a robot's speech rate, in which we found that participants prefer slower speech rate in a situation where the robot and participants talk while walking. Finally, in a study for analyzing users interaction with a robot, we found that they often behave in a social way similar to what they do to other people, though they attributed less moral responsibility to the robot. It indicates that people perceive a robot as a new category beyond neither humans nor inanimate object.