An Architecture for a Socially Adaptive Virtual Recruiter in Job Interview Simulations
Résumé
This paper presents an architecture for an adaptive virtual recruiter in the context of job interview simulation. This architecture allows the virtual agent to adapt its behaviour according to social constructs (e.g. attitude, relationship) that are updated depending on the behaviour of their interlocutor. During the whole interaction, the system analyses the behaviour of the human participant, builds and updates mental states of the virtual agent and adapts its social attitude expression. This adaptation mechanism can be applied to a wide spectrum of application domains in Digital Inclusion, where the user need to train social skills with a virtual peer.