Human–Robot Interaction as a Cooperative Game
As robots become important parts of our daily lives and interact with human users, human—robot interaction (HRI) is raised as an important issue in robotics as well as relevant academic areas, and researchers in those areas pay more attention to how robots can communicate and cooperate with humans. Nevertheless, there seem to be few theoretical frameworks that guide designing, evaluating, and explaining human–robot interaction. Much current research on the topic is rather technically oriented, and thus suffers from poverty of theory.
This does not simply originate from the current limitation of artificial intelligence (AI) technologies or lack of formalization of psychological studies. The studies on humans and robots have been independently carried on in psychology and robotics, and, no theoretical bridge that links two agents with heterogeneous abilities has been developed to explain the interaction process.
In this chapter we try to build a bridge between human and robot using a gametheoretic approach. Game theory has been developed to explain strategic decision making with respect to another agent’s decision. It also has been widely applied to explain human behavior and design interaction processes not only in psychology, auction, military strategy, diplomatic policy, and law enforcement [2, 5, 8], but also computational biology, artificial intelligence, and so on. Game theory provides a formal framework to account for interaction activities in various situations. Especially, our research interests focus on communicative interaction and cooperative decision making that is described later.
KeywordsGame Theory Robotic System Cooperative Game Human User Robot Interaction
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