Conversation serves as a crucial means for individuals to express their intentions, feelings, attitudes, and personalities, mak-ing natural conversational interaction a vital technical competency for conversational agents. With the growing advance-ments in deep learning and natural language processing techniques, these systems have gained significant traction acrossvarious sectors. However, a key challenge lies in developing chatbots that can generate human-like replies adaptable tousers’ personalities. This article presents a comprehensive review of previous research on personality adaptive chatbots. Byemploying a systematic review approach and analyzing 3524 publications from recognized digital databases, we identify66 relevant works focused on personality adaptive chatbots. The review examines recent studies on personality interpreta-tions and definitions, providing valuable insights into different perspectives on personality. Additionally, it categorizes andanalyzes various deep learning approaches used in personality recognition, identifying effective techniques for capturing andunderstanding a users’ personalities. Furthermore, the review explores the consideration of personal characteristics such aslinguistic style, behavior traits, and Persona in adapting chatbot responses to users’ preferences. Lastly, through an analysisof relevant chatbot implementations, the review identifies trends in incorporating personality adaptation and metrics to assesseffectiveness and user satisfaction. By synthesizing these findings, we contribute to a deeper understanding of personalityadaptive chatbots and the challenges and opportunities associated with developing chatbots that can generate human-likereplies adaptable to users’ personalities. (1) (PDF) The Power of Personalization: A Systematic Review of Personality-Adaptive Chatbots. Available from: https://www.researchgate.net/publication/373515148_The_Power_of_Personalization_A_Systematic_Review_of_Personality-Adaptive_Chatbots [accessed Sep 18 2023].