Virtual Agents

An architecture for biologically grounded real-time reflexive behavior

In this paper, we present a reflexive behavior architecture, that is geared towards the application in the control of the non-verbal behavior of the virtual humans in a public speaking training system. The model is organized along the distinction …

Manipulating the perception of virtual audiences using crowdsourced behaviors

Virtual audiences are used for training public speaking and mitigating anxiety related to it. However, research has been scarce on studying how virtual audiences are perceived and which non-verbal behaviors should be used to make such an audience …

Investigating the Physiological Responses to Virtual Audience Behavioral Changes

Virtual audiences have been used in psychotherapy for the treatment of public speaking anxiety, and recent studies show promising results with patients undergoing cognitive-behavior therapy with virtual reality exposure maintaining a reduction in …

Vers des Agents Conversationnels Animés dotés d'émotions et d'attitudes sociales

In this article, we propose an architecture of a socio-affective Embodied Conversational Agent (ECA). The different computational models of the architecture enable an ECA to express emotions and social attitudes during an interaction with a user. …

Towards a socially adaptive virtual agent

This paper presents a socially adaptive virtual agent that can adapt its behaviour according to social constructs (e.g. attitude, relationship) that are updated depending on the behaviour of its interlocutor. We consider the context of job interviews …

Agents Conversationnels Animés pour l’entrainement social : modèle computationnel de l’expression d’attitudes sociales par des séquences de signaux non-verbaux

The Embodied Conversational Agents (ECAs) used in social training must be able to simulate all the different social situations that a learner has to train to. Depending on the application, the ECAs must then be able to express various emotions or …

An architecture for a socially adaptive virtual recruiter in job interview simulations

From non-verbal signals sequence mining to bayesian networks for interpersonal attitudes expression

In this paper, we present a model and its evaluation for expressing attitudes through sequences of non-verbal signals for Embodied Conversational Agents. To build our model, a corpus of job interviews has been annotated at two levels: the non-verbal …

Suggestions for extending saiba with the vib platform

Expressing social attitudes in virtual agents for social coaching

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