Fostering common ground in human-robot interaction

Sara B. Kiesler

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Social Robot Interaction and HRI Speech and dialogue systems AI in Service Interactions

Abstract

Effective communication between people and interactive robots would benefit if they have a common ground of understanding. I discuss how the common ground principle of least collective effort can be used to predict and design human robot interactions. Social cues lead people to create a mental model of a robot and estimates of its knowledge. People's mental model and knowledge estimate would, in turn, influence the effort they expend to communicate with the robot. People would explain their message in less detail to a knowledgeable robot with which they have more common ground. This process can be leveraged to design interactions that have an appropriate style of robot direction and that accommodate to differences among people.

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References

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2019Can you Tell the Robot by the Voice? An Exploratory Study on the Role of Voice in the Perception of Robots 2016Co-constructing intersubjectivity with artificial conversational agents: People are more likely to initiate repairs of misunderstandings with agents represented as human 2011How Does the Difference Between Users’ Expectations and Perceptions About a Robotic Agent Affect Their Behavior?2015Effects of Culture on the Credibility of Robot Speech

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