Conversational AI - Chatbot Architectures and Evaluation

Analyzing architectures and evaluation methods for conversational AI systems, including chatbots, virtual assistants, and dialogue systems

Authors

  • Sarath Babu Dodda Central Michigan University, MI, United States Author
  • Srihari Maruthi University of New Haven, West Haven, CT, United States Author
  • Ramswaroop Reddy Yellu Independent Researcher, USA Author
  • Praveen Thuniki Independent Researcher & Program Analyst, Georgia, United States Author
  • Surendranadha Reddy Byrapu Reddy Sr. Data Architect at Lincoln Financial Group, Greensboro, NC, United States Author

Keywords:

Conversational AI, Chatbots, Virtual Assistants, Dialogue Systems, Architectures, Evaluation Methods, Rule-based, Retrieval-based, Generative Models, Human Judgment, User Studies, Automated Metrics, User Experience

Abstract

Conversational AI has emerged as a powerful technology, enabling natural language interactions between humans and machines. Chatbots, virtual assistants, and dialogue systems are key applications of conversational AI, with diverse architectures and evaluation methods. This paper presents a comprehensive analysis of these architectures, including rule-based, retrieval-based, and generative models, highlighting their strengths and weaknesses. Evaluation methods, such as human judgment, user studies, and automated metrics, are discussed in detail, emphasizing the importance of evaluating both functionality and user experience. The paper also explores current challenges and future directions in conversational AI research, aiming to guide researchers and practitioners in developing more effective and user-friendly systems.

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References

Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.

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Published

25-06-2021

How to Cite

[1]
S. Babu Dodda, S. Maruthi, R. Reddy Yellu, P. Thuniki, and S. Reddy Byrapu Reddy, “Conversational AI - Chatbot Architectures and Evaluation: Analyzing architectures and evaluation methods for conversational AI systems, including chatbots, virtual assistants, and dialogue systems”, Australian Journal of Machine Learning Research & Applications, vol. 1, no. 1, pp. 13–20, Jun. 2021, Accessed: Nov. 07, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/17

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