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A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999-2022)

Journal

SUSTAINABILITY
Volume 15, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/su15054012

Keywords

conversational chatbot; chatbot; dialogue system; dialogue response; dialogue strategies; dialogue generation; machine learning; conversational agents

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A conversational chatbot or dialogue system is a computer program that simulates conversation with human users. These chatbots can be integrated into messaging apps, mobile apps, or websites and are designed to engage in natural language conversations. Chatbots have various applications, including educational support and handling inquiries or tasks. They use AI techniques like NLP and neural networks to understand and respond to user input. The objectives, methodologies, achievements, challenges, and future trends of chatbot development will be explored in this study.
A conversational chatbot or dialogue system is a computer program designed to simulate conversation with human users, especially over the Internet. These chatbots can be integrated into messaging apps, mobile apps, or websites, and are designed to engage in natural language conversations with users. There are also many applications in which chatbots are used for educational support to improve students' performance during the learning cycle. The recent success of ChatGPT also encourages researchers to explore more possibilities in the field of chatbot applications. One of the main benefits of conversational chatbots is their ability to provide an instant and automated response, which can be leveraged in many application areas. Chatbots can handle a wide range of inquiries and tasks, such as answering frequently asked questions, booking appointments, or making recommendations. Modern conversational chatbots use artificial intelligence (AI) techniques, such as natural language processing (NLP) and artificial neural networks, to understand and respond to users' input. In this study, we will explore the objectives of why chatbot systems were built and what key methodologies and datasets were leveraged to build a chatbot. Finally, the achievement of the objectives will be discussed, as well as the associated challenges and future chatbot development trends.

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