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<p>Socially Interactive Agents (SIAs) are increasingly involved in people’s daily lives, assuming roles that range from virtual tutors to conversational companions. In this context, the agent’s personality and its use of argumentation schemes can shape decision-making processes and the way it interacts. When an SIA resorts to emotional or potentially fallacious arguments, it may reinforce stereotypes and discriminatory behaviors. However, these same schemes can also be employed in a legitimate or ethical manner if integrated within a framework that anticipates bias detection and behavioral adaptation. This work explores the integration of the Five-Factor Model (FFM) of personality with argumentation schemes to predict the types of arguments an agent would use based on its personality profile. Such integration enables the simulation of both unethical or discriminatory behaviors (when the traits of the FFM suggest a more hostile interaction style) and respectful, inclusive strategies (when empathy-related traits prevail). We present a framework that combines personality traits, situational contexts, and discrimination detection mechanisms with the goal of designing SIAs that behave consciously and ethically.</p>

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From personality to argumentative schemes: an analysis of emotional and fallacies schemes for modeling discrimination in SIAs

  • 期刊论文

  • 发表日期：

    2026年2月1日

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  • Martínez-Hernández Eduardo David,
  • Morales-Rodríguez María Lucila,
  • Gómez-Santillán Claudia Guadalupe,
  • Rangel-Valdez Nelson

摘要

Socially Interactive Agents (SIAs) are increasingly involved in people’s daily lives, assuming roles that range from virtual tutors to conversational companions. In this context, the agent’s personality and its use of argumentation schemes can shape decision-making processes and the way it interacts. When an SIA resorts to emotional or potentially fallacious arguments, it may reinforce stereotypes and discriminatory behaviors. However, these same schemes can also be employed in a legitimate or ethical manner if integrated within a framework that anticipates bias detection and behavioral adaptation. This work explores the integration of the Five-Factor Model (FFM) of personality with argumentation schemes to predict the types of arguments an agent would use based on its personality profile. Such integration enables the simulation of both unethical or discriminatory behaviors (when the traits of the FFM suggest a more hostile interaction style) and respectful, inclusive strategies (when empathy-related traits prevail). We present a framework that combines personality traits, situational contexts, and discrimination detection mechanisms with the goal of designing SIAs that behave consciously and ethically.