A Multimodal Corpus Approach to the Design of Virtual Recruiters
Résumé
This paper presents the analysis of the multimodal behavior of experienced practitioners of job interview coaching, and describes a methodology to specify their behavior in Embod-ied Conversational Agents acting as virtual recruiters displaying different interpersonal stances. In a first stage, we collect a corpus of videos of job interview enactments, and we detail the coding scheme used to encode multimodal behaviors and contextual information. From the annotations of the practitioners' behaviors we observe specificities of behavior across different levels, namely monomodal behavior variations, intermodalities behavior influences, and contextual influences on behavior. Finally we propose the adaptation of an existing agent architecture to model these specificities in a virtual recruiter's behavior.
Domaines
Interface homme-machine [cs.HC]
Origine : Fichiers produits par l'(les) auteur(s)
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