Convergence of Chatbot Personalities Using Reinforcement Learning and Text Generation

Abstract

Chatbots have become indispensable tools in customer support and mental health industries, facilitating efficient communication and problem-solving. However, the success of these interactions often hinges on the alignment between the chatbot's personality and the user's preferences. This study investigates the significance of personality matching in chatbot conversations, exploring the impact of MBTI personality types on user engagement and satisfaction. We delve into various strategies for adopting appropriate tone and persona in one-to-one and group chatbot interactions. By understanding the nuances of personality and tailoring chatbot responses accordingly, we aim to optimize the effectiveness of these virtual agents and enhance the overall user experience.