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

我们进行了研究，以实现自然与人互动的机器人。我们开发了一个计算模型的机器人行为，导致的感觉“在一起”使用机器人的身体位置和方向，其中人的情绪行为在联合注意力的情况下，通过检测合作伙伴的注意力转移和适当地调整其身体位置和方向，在建立与合作伙伴的联合注意力再现。此外，我们研究了机器人的语音速率的影响，其中我们发现，参与者更喜欢较慢的语音速率的情况下，机器人和参与者边走边谈。最后，在一项分析用户与机器人互动的研究中，我们发现他们的行为方式与他们对其他人的行为方式相似，尽管他们认为机器人的道德责任较少。它表明，人们认为机器人是一个新的类别，既不是人类，也不是无生命的物体。

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.