Intelligent Virtual Agent

Virtual training systems provide an optional way to train people in complex and dynamic tasks, such as crisis management or rotation. Clever agents are often used to play the characters that a practitioner interacts with. To enhance students’ understanding of the situations played, several testimonials from agents that could explain the reasons for their actions were suggested. This article describes an empirical study of what instructors consider to be helpful agent explanations for learners. Different types of explanations are preferred for different actions, e.g. conditions that enable an action to be performed, fundamental goals for an action, or goals that can be achieved after implementation. act. When an action has significant consequences for other actors, the facilitator suggests that the views of others should be part of the explanation.