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Job interview simulation with a virtual agents aims at improving people'ssocial skills and supporting professional inclusion. In such simulators, thevirtual agent must be capable of representing and reasoning about the user'smental state based on social cues that inform the system about his/her affectsand 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 focuseson the affective dimension. It relies on a hybrid ToM that combines the twomajor paradigms of the domain. Our framework is based on modal logic andinference rules about the mental states, emotions and social relations of bothactors. Finally, we present preliminary results regarding the impact of such amodel on natural interaction in the context of job interviews simulation.

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