Florian Pecune

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Laughter is an important social signal which may have various communicative functions (Chapman 1983). Humans laugh at humorous stimuli or to mark their pleasure when receiving praised statements (Provine 2001); they also laugh to mask embarrassment (Huber and Ruch 2007) or to be cynical. Laughter can also act as social indicator of in-group belonging(More)
Florian Pecune CNRS LTCI, Telecom ParisTech, Paris (France) pecune@enst.fr Maurizio Mancini DIBRIS Università di Genova, Genova (Italia) maurizio.mancini@unige.it Beatrice Biancardi CNRS LTCI, Telecom ParisTech, Paris (France) biancardi@enst.fr Giovanna Varni DIBRIS Università di Genova, Genova (Italia) giovanna.varni@unige.it Yu Ding CNRS LTCI, Telecom(More)
Affective brain-computer interfaces (BCI) harness Neuroscience knowledge to develop affective interaction from first principles. In this article, we explore affective engagement with a virtual agent through Neurofeedback (NF). We report an experiment where subjects engage with a virtual agent by expressing positive attitudes towards her under a NF paradigm.(More)
Laughter is a social signal capable of facilitating interaction in groups of people: it communicates interest, helps to improve creativity, and facilitates sociability. This article focuses on: endowing virtual characters with computational models of laughter synthesis, based on an expressivity-copying paradigm; evaluating how the physically co-presence of(More)
User interaction with Embodied Conversational Agents (ECA) should involve a significant affective component to achieve realism in communication. This aspect has been studied through different frameworks describing the relationship between user and ECA, for instance alignment, rapport and empathy. We conducted an experiment to explore how an ECA's non-verbal(More)
The objective of my Ph.D is to develop a computational model of social relations for artificial companions. Such a model should consider the representation of the social relation, its initialization and its dynamics over time. Moreover, the influence of this relation on the agent's decision-making should be modeled. In the proposed computational model(More)
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 émotions et des attitudes sociales durant son interaction avec l'utilisateur, sont(More)
To be perceived as believable partners in human-machine interactions, virtual agents have to express adequate social attitudes. The social attitude expressed by an agent should reflect the social situation of the interaction. The agent ought to take into account its role and its social relation toward its interactants when deciding how to react in the(More)
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