Virtual Agents

Expressing social attitudes in virtual agents for social coaching

This paper presents a model of social attitudes for reasoning about the appropriate attitude to express during an interaction. It combines a theoretical approach with a study of a corpus of human-to-human interactions.

Mining a multimodal corpus for non-verbal signals sequences conveying attitudes

Interpersonal attitudes are expressed by non-verbal behaviors on a variety of different modalities. The perception of these behaviors is influenced by how they are sequenced with other behaviors from the same person and behaviors from other …

Expressing social attitudes in virtual agents for social training games

The use of virtual agents in social coaching has increased rapidly in the last decade. In order to train the user in different situations than can occur in real life, the virtual agent should be able to express different social attitudes. In this …

A multimodal corpus approach to the design of virtual recruiters

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 Embodied Conversational Agents acting as virtual recruiters displaying …

The TARDIS framework: Intelligent virtual agents for social coaching in job interviews

The TARDIS project aims to build a scenario-based serious-game simulation platform for NEETs and job-inclusion associations that supports social training and coaching in the context of job interviews. This paper presents the general architecture of …

Vers des agents conversationnels animés socio-affectifs

Dans cet article, nous proposons une architecture d'un Agent Conversationnel Animé (ACA) socio-affectif. Les différents modèles computationnels sous-jacents à cette architecture, permettant de donner la capacité à un ACA d’exprimer des …