2005 IEEE International Workshop on Robots and Human Interactive Communication Fostering Common Ground in Human-Robot Interaction *
BibTeX
@MISC{_2005ieee,
author = {},
title = {2005 IEEE International Workshop on Robots and Human Interactive Communication Fostering Common Ground in Human-Robot Interaction *},
year = {}
}
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Abstract
Abstract – Effective communication between people and interactive robots will 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 will, in turn, influence the effort they expend to communicate with the robot. People will 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. Index Terms – human-robot interaction, social robots, humanoids, perception, dialogue, common ground, knowledge estimation, speech communication
