Decision-Making Model for Robots that Considers Group norms and Interests

Abstract

In this study, we propose a robotic model that makes decisions based on group norms as a group member that have interests. In a field of social robotics, it is important that robots naturally participate in human communities and behave in a human-like way. In our previous studies, robots behaved socially in human-robot groups by obeying group norms. However, our previous studies did not consider interests of the group members. In general, a beneficial behavior for a member might put other members at a disadvantage. Due to conflicts of interests in a group, each member tends to behave in a way that requires others to be fair while trying to gain more benefit. Therefore, under group norms to behave with fairness in mind, each group member pursues their interests. In human-robot groups, the robots also need to adapt their behaviors to the group, considering the implicit norms of fairness. In this study, we investigate how an agent using the proposed interest-aware model behaves in interactions with humans. In the proposed experimental scenario, we confirmed that each group member’s idea of fair behavior under the interest relation appeared as a group norm.