A logical model of Theory of Mind for virtual agents in the context of job interview simulation

Job interview simulation with a virtual agents aims at im-proving people’s social skills and supporting professional in-clusion. In such simulators, the virtual agent must be ca-pable of representing and reasoning about the user’s men-tal state based on social cues that inform the system about his/her affects and social attitude. In this paper, we propose a formal model of Theory of Mind (ToM) for virtual agent in the context of human-agent interaction that focuses on the affective dimension. It relies on a hybrid ToM that combines the two major paradigms of the domain. Our framework is based on modal logic and inference rules about the mental states, emotions and social relations of both actors. Finally, we present preliminary results regarding the impact of such a model on natural interaction in the context of job inter-views simulation