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This paper presents a development framework for social robots with which developers can easily prepare communicative behaviors based on tag-based sentences. Previous literature in human-robot interaction has revealed various useful non-verbal behaviors. But for developers, integrating such a large amount of non-verbal behaviors each time they build a social robot is not realistic. The more repertory...
In this paper, we present our current research on developing a model of robot behavior that leads to feelings of “being together” using the robot's body position and orientation. Creating feelings of “being together” will be an essential skill for robots that live with humans and adapt to daily human activities such as walking together or establishing joint attention to information in the environment...
Human communication involves a number of nonverbal cues that are seemingly unintentional, unconscious, and automatic—both in their production and perception—and convey rich information on the emotional state and intentions of an individual. One family of such cues is called “nonverbal leakage.” In this paper, we explore whether people can read nonverbal leakage cues—particularly gaze cues—in humanlike...
This paper describes a model for a robot to appropriately control its position when it presents information to a user. This capability is indispensable since in the future many robots will be functioning in daily situations as shopkeepers presenting products to customers or museum guides presenting information to visitors. Psychology research suggests that people adjust their positions to establish...
We believe that lifelikeness is important to make it possible for a humanoid robot to interact naturally with people. In this research we investigate the relationship between contingency and complexity in a lifelike humanoid robot. We have developed a robot control system to experimentally control contingency and complexity in interaction by combining a humanoid robot with a motion-capturing system...
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