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. Afin-d-'évaluer-le-modèle-proposé, on a développé diffèrentes versions d'agents (dotés de personnalités diffèrentes et de buts "cachés" diffèrents) capables d'interagir avec des usagers dans un jeu de Sudoku. Les agents développés utilisent des actes de langage expressifs [3] et un raisonnement de type BDI (Belief, Desire, Intention), La communication est ici de type clavardage

E. Études-connexes-bevacqua, . Mancini, and . Pelachaud, Les auteurs veulent créer un ACA avec des traits de personnalité reconnaissables lorsqu'ils interagissent avec des usagers en jouant un rôle plus passif dans la conversation (agents qui écoutent les sujets humains) Ils proposent un modèle basé sur quelques caractéristiques: (i) la préférence d'un agent pour l'utilisation des diffèrents canaux de communication disponibles et (ii) un ensemble des paramètres qui affectent le comportement de l'agent (réalisation de grands ou petits mouvements, par exemple) Ces caractéristiques sont établies selon les traits de personnalité de l'agent, c'est-à-dire, les auteurs proposent un système où table E.2 ont été choisies Le modèle OCC formalise que les émotions résultent de l'évaluation de trois aspects du monde: les évènements (façon dont les gens perçoivent les évènements), les agents, Pour la conception du modèle, les facettes choisies ont été associées au modèle cognitif des émotions OCC (OCC sont les lettres initiales des auteurs: Ortony, Clore et Collins) des animaux ou des abstractions) et les objets (objets inanimés). Les perceptions émotionnelles sont valorisées à partir de leurs objectifs (elles sont promues ou empêchent que les objectifs et préférences d'un autre soient atteints), modèles et préférences. Selon le modèle OCC, les émotions comme la peur (valence négative) et l'espoir

. De-la-même-façon, des buts de communication "cachés" ont été définis. Les buts proposés dans cette étude existent d'une façon inconsciente (c'est pour cela qu'ils sont nommés cachés) animés)

. Le-protocole-d, La vérification réalisée dans cette première rencontre a entraîné l'exclusion de plusieurs participants (au début on avait 20 volontaires), puisque la connaissance de l'anglais était essentielle pour la compréhension de la conversation. Ensuite, les participants ont été interviewés une seconde fois pour l'évaluation des connaissances préalables sur ACA. La phase suivante a été celle de l'explication de l'expérimentation et d'une introduction générique sur les agents conversationnels animés. Les participants qui n'avaient pas de connaissances préalables sur les ACA ont eu le temps d'interagir avec des autres agents disponibles (dans des pages web) Il faut souligner que l'objectif de cette phase a été de mettre tous les participants au même niveau, et donc, ils n'ont pas été accompagnés ou guidés dans cette interaction, la phase finale, les participants ont interagi avec toutes les facettes de personnalité modelées (sessions du jeu). Pour cela, chaque participant a joué le jeu de 5 é 10 fois avec des différents agents (plusieurs facettes de personnalité ont interagi individuellement dans un jeu). Cinq d'entre eux étaient obligatoires (parce qu'il s'agissait de cinq différentes facettes modelées) et les autres cinq jeux étaient optionnels

K. Isbister and P. Doyle, The Blind Men and the Elephant Revisited From brows to trust: evaluating embodied conversational agents, pp.3-26, 2004.

Z. Ruttkay and C. Pelachaud, From brows to trust: evaluating embodied conversational agents, 2004.
DOI : 10.1007/1-4020-2730-3

A. Berger and S. Pesty, Towards a Conversational Language for Artificial Agents in Mixed Community, Fourth International Central and Eastern European Conference on Multi-Agent Systems, pp.31-40, 2005.
DOI : 10.1007/11559221_4

M. Bratman, Intention, plans, and practical reason, 1987.

A. S. Rao and M. P. Georgeff, Modeling Rational Agents within a BDI-Architecture, International Conference on Principles of Knowledge Representation and Reasoning, 1991.

P. Jaques, E. Pontarolo-;-r, S. Vicari, and . Pesty, Project PRAIA: pedagogical rational and affective intelligent agents, Proceedings of the Brasil/INRIA Colibri Colloquium, pp.195-198, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00950910

A. Loyall and J. Bates, Personality-rich believable agents that use language, Proceedings of the first international conference on Autonomous agents , AGENTS '97, 1997.
DOI : 10.1145/267658.267681

K. Ijaz, ;. Bogdanovych, and S. Simoff, Enhancing the Believability of Embodied Conversational Agents through Environment-, Self-and Interaction-Awareness. In: Australasian Computer Science Conference, pp.107-116, 2011.

R. Niewiadomski, V. Dmeure, and C. Pelachaud, Warmth, Competence, Believability and Virtual Agents, Tenth International Conference on Intelligent Virtual Agents, pp.272-285, 2010.
DOI : 10.1007/978-3-642-15892-6_29

R. Catrambone, J. Stasko, and J. Xiao, ECA as user interface paradigm From brows to trust: evaluating embodied conversational agents, pp.239-267, 2004.

Z. Ruttkay, C. Dormann, and H. Noot, Embodied Conversational Agents on a Common Ground From brows to trust: evaluating embodied conversational agents, pp.27-66, 2004.

E. Bevacqua, M. Mancini, M. , and C. Pelachaud, A listening agent exhibiting personality traits, Eighth International Conference on Intelligent Virtual Agents, pp.262-269, 2008.

M. Poznanski and P. Thagard, Changing personalities: towards realistic virtual characters, Journal of Experimental & Theoretical Artificial Intelligence, vol.33, issue.6, pp.221-241, 2005.
DOI : 10.1080/09528130500112478

A. Arya, L. N. Jefferies, J. T. Enns, and S. Dipaola, Facial actions as visual cues for personality, Computer Animation and Virtual Worlds, vol.117, issue.3-4, pp.3-4371, 2006.
DOI : 10.1002/cav.140

D. Syrdal, M. Walters, S. Koay, K. Woods, and . Dautenhahn, Looking Good: appearance preferences and robot personality inferences at zero acquaintance, AAAI Summer Symposium on multidisciplinary collaboration for socially Assistive Robotics, pp.86-92, 2007.

J. P. Rowe, E. Y. Ha, and J. C. Lester, Archetype-Driven Character Dialogue Generation for Interactive Narrative, Eighth International Conference on Intelligent Virtual Agents, pp.45-58, 2008.
DOI : 10.1007/978-3-540-85483-8_5

V. Schmidt, Master characters: mythic models for creating original characters, Writers Digest Books, 2001.

M. A. Walker, ;. E. Cahn, and S. J. Whittaker, Improvising linguistic style, Proceedings of the first international conference on Autonomous agents , AGENTS '97, pp.96-105, 1997.
DOI : 10.1145/267658.267680

O. John and S. Srivastava, The Big Five trait taxonomy: history, measurement, and theoretical perspectives Handbook of Personality: theory and research, pp.102-138, 1999.

R. R. Mccrae and P. T. Costa, Validation of the five-factor model of personality across instruments and observers., Journal of Personality and Social Psychology, vol.52, issue.1, pp.81-90, 1987.
DOI : 10.1037/0022-3514.52.1.81

L. R. Goldberg, An alternative "description of personality": The Big-Five factor structure., Journal of Personality and Social Psychology, vol.59, issue.6, pp.1216-1229, 1990.
DOI : 10.1037/0022-3514.59.6.1216

A. L. Ortony-;-g, A. Clore, and . Collins, The cognitive Structure of Emotions, 1988.
DOI : 10.1017/CBO9780511571299