Social Behavior Investigation of an Intelligent Virtual Agent with the Help of Typical Working Student's Life Scenario Modeling

This paper investigates the social behaviour of an intelligent virtual agent (IVA) with PRE-ThINK architecture with the help of typical working student’s life scenario modeling. Тhe program system and the PRE-ThINK architecture, adapted for this scenario, are proposed, and their components are considered. The dynamics of the decision making process in problem situations caused by the implementation of this architecture is shown, when mixed emotions arise and the realization of what happened reflects on the agent’s temper. IVA’s social behavior is shown, during which in the process of communicating with the user the agent expresses learned from experience secondary emotions, which can be either in harmony or in conflict with the realized secondary emotions, resulting both from the agent’s generalized condition and the events. The investigated secondary emotions are: relief, confidence, prestige, uncertainty, confirmed fear, disappointment; and also the socially expressed secondary emotions such as refrained sadness, refrained anger, businesslike manners, politeness and authoritativeness.