Abstract
As the learning function of a communication robot, we are using Interactive Evolutionary Computation (IEC). The IEC is an evolutionary computation where the fitness function is performed by a user, so it is available for the learning of the user's subjective preference. In this paper, we show the adaptability of the IEC to the interaction between various users and a robot. We installed the IEC function into a real robot named WAMOEBA-3. In the experiment, various interactions were shown because we did not tell subjects anything about the robot. However, the robot's motion changed to the behavior the users liked and the fitness values are gradually increased. Therefore, the adaptability of the IEC is confirmed.
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