SYSTEMATIC REVIEW article
Front. Artif. Intell.
Sec. Natural Language Processing
Designing Intelligent Chatbots with ChatGPT: A Framework for Development and Implementation
Provisionally accepted
- University of Oklahoma, Norman, United States
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Abstract Background: The rapid evolution of interactive AI has reshaped human-computer interaction, with ChatGPT emerging as a key tool for chatbot development. Industries such as healthcare, customer service, and education increasingly integrate chatbots, highlighting the need for a structured development framework. Purpose: This study proposes a framework for designing intelligent chatbots using ChatGPT, focusing on user experience, hybrid design models, prompt engineering, and system limitations. The framework aims to bridge the gap between technical innovation and real-world application. Method: A systematic literature review (SLR) was conducted, analyzing forty relevant studies. The research was structured around three key questions: (1) How do user experience and engagement impact influence chatbot performanceeffectiveness? (2) How doesdo hybrid design models improve chatbot performance? (3) What are the limitations of using ChatGPT, and how does prompt engineering affect responses? Results: The findings emphasize that well-designed user interactions enhance engagement and trust. Hybrid models integrating rule-based and machine learning techniques improve chatbot functionality. However, challenges such as response inconsistencies, ethical concerns, and prompt sensitivity require careful consideration. A framework for design, development, and implementation of effective Chatbots with ChatGPT has been proposed in this study. Conclusions: This study provides a structured framework for chatbot development with ChatGPT, offering insights into optimizing user experience, leveraging hybrid design, and mitigating limitations. The proposed framework serves as a practical guide for researchers, developers, and businesses aiming to create intelligent, user-centric chatbot solutions.
Keywords: Chatbot, ChatGPT, user experienceUX, Prompt, Hybrid design model, Systematic Literature Review
Received: 12 May 2025; Accepted: 20 Nov 2025.
Copyright: © 2025 Hyder and Kittur. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Javeed Kittur
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.