The Design for Antrophomorphic Sociable Agent Interaction through Emotion Detection

Human emotions rely upon the ability to correctly attribute beliefs, goals and percepts to other people or social respond. Many of the quests to model human emotions derived from diverse aspects of research themes. Most of the research works related to the work of researchers in artificial intelligence, psychology, cognitive sciences as well as robotics. This research works addresses on faces features through simulation of anthropomorphic agent. A salience feature of this definition of emotion is described in terms of goals and roles. Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion. The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified. One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately. An anthropomorphic agent will serve to express the reaction through affective feedback given. Thus, it will give a new direction of human-computer interaction issues in designing the most suitable interface that can understand our behaviour and respond to it Scope of Presentation: Artificial Intelligence, Cognitive Science, Affective Computing, and Human-Computer Interaction.