In this study, 248 university students completed questionnaires measuring their perceptions of and responses to their favorite and least desired characters in their favorite TV serial. Firstly, the respondents named their favorite serial character and then rated their favorite character on several attributes (physical attractiveness, positive social behavior, strength and humor) and indicated their level of agreement to the items of the parasocial interaction scale. Secondly, the participants named the character they desired the least in their favorite TV serial, rated that character on several attributes (physical repulsiveness, negative social behavior, weakness) and responded to the items of the negative parasocial interaction scale. Regression analyses predicting the sub-dimensions of parasocial interaction, namely companionship, empathic involvement and interest, and negative parasocial interaction, namely, boredom, anger, disturbance and amazement were performed. Different attributes of the characters were found to be important in predicting different dimensions of parasocial and negative parasocial interaction. The predictors of the sub-dimensions of parasocial interaction were determined. Significant predictors of companionship sub-scale were found as the positive social behavior, humor and strength of the character. In terms of empathic involvement, the perceived attributes of positive social behavior, physical attractiveness, strength and humor were found as significant predictors. For the interest sub-scale, the significant predictors were found as humor, strength and physical attractiveness. The newly-formed scale named as Negative Parasocial Interaction Scale was factor analyzed and interpretable factors were determined. The predictors of these factors were also examined. Significant predictors of boredom sub-scale were found to be the perceived weakness and physical repulsiveness of the character. Negative social behavior of the character was found to be a significant negative predictor of boredom sub-scale. In terms of anger sub-scale, only negative social behavior was found to be a significant predictor. For the disturbance sub-scale, significant predictors were found as negative social behavior, physical repulsiveness and weakness. Finally, the amazement sub-scale was significantly predicted only by the physical repulsiveness of the character. The implications of the findings, the strengths and weaknesses of the study are discussed.

Le réalisme d'une application traitant de l'animation comportementale de foules est fondé d'une part sur le rendu graphique des scènes produites par l'application, mais aussi sur le réalisme du comportement lui-même. C'est ce dernier point qui est notre objet d'étude. Le réalisme du comportement d'une foule est avant tout global (réalisme macroscopique) : elle doit avoir des propriétés statistiques (densité, dispersion, vitesse moyenne,…) proches de celles d'une foule réelle. Il est aussi local (réalisme microscopique), c'est-à-dire que les agents ou groupes d'agents doivent idéalement avoir des comportements proches de ceux des humains ou groupes humains pris pour référence, tout au moins dans le domaine d'application restreint considéré. L'objet de cette thèse est de proposer un modèle générique pour effectuer des simulations comportementales de foules, pour pouvoir satisfaire simultanément les deux types de réalisme macroscopique et microscopique et rendre compte de la plupart des types de foules (foules homogènes, groupes, collection d'agents). Pour ce faire, nous avons dégagé quelques principes simples et peu coûteux en ressources. Nous introduirons la notion de contexte (global, localisé, et propagateur). Les contextes globaux et localisés appliqués à un groupe d'agents tendent à leur donner un même comportement et constituent ainsi un moyen de contrôle global de ces acteurs (réalisme macroscopique). Le contexte propagateur donne un moyen de propagation d'informations entre les agents de la foule (communication). Les agents eux-mêmes sont dotés de tendances qui, en les différenciant dans un même contexte, leur donne une variété de comportements qui concourt au réalisme microscopique. / The realism of crowd behavioral animation is based on one hand on a rendering of graphic scenes generated by the application, and on the other hand on the realism of the behavior. This is last point which is our object of study. The realism of crowds' behavior is essentially global (macroscopic realism). It must respect the required statistical characteristics of the crowd (density, dispersal, speed…) similar to those of a real crowd. The realism is also local (microscopic realism), i.e. agents should ideally behave like humans or human groups taken as reference, at least in the focus of the considered application. The aim of our research is to propose a generic model to perform crowd behavior simulation in order to simultaneously satisfy the criterion of macroscopic and microscopic realism and that may be used to build various crowd behavioral simulations (homogeneous crowds, groups, collections of agents). To do this, we identified some simple principles and inexpensive resources; we introduce the notion of context (global, localized, and propagator). Global contexts applied to a group of agents, it tends to give them the same behavior and thus constitutes a means for global control of those agents (macroscopic realism). Propagator contexts allow the propagation of information among agents (communication). Agents are themselves equipped with tendencies that differentiate them within the context, and give them a variety of behaviors that contributes to microscopic realism.