A Smart Interactive Behavioral Chatbot: A Theoretical Prototype

Abstract

In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. These systems, also recognized as chatbots, interactive conversational agents, or dialog systems, have broad applications, including technical support services, language entertainment, and learning. The emergence of deep neural networks has surged research efforts aimed at building data-driven dialog models. In this study, a novel approach is introduced that incorporates emotions extracted from various sources to design a smart and interactive chatbot.