Cognitive Modeling of Human-Robot Interaction Estimating Other’s Internal State

Various types of action decision strategy are used to realize a smooth interaction with others. We can estimate intention of others and determine own action accordingly, or can induce intention and actions of others’ as we intend. In this study, a computational model of the action decision has been constructed based on an intention estimation of others and is evaluated its effectiveness by ‘a robot-child play’ experiment. For the model construction, the human adult behavior in the game play with child has been analyzed.. As a result, a necessity of “Meta-strategy” such as a choice of action decision strategy is suggested.