Natural Language Interaction - Conversational Agents: Investigating design principles and evaluation methods for conversational agents and natural language interfaces for human-computer interaction

Authors

  • Dr. Dzmitry Tsetseruk Associate Professor of Computer Science, Belarusian National Technical University Author

Keywords:

Conversational agents, chatbots

Abstract

Conversational agents, also known as chatbots or virtual assistants, play a crucial role in human-computer interaction by enabling natural language interactions between users and systems. This paper investigates the design principles and evaluation methods for conversational agents and natural language interfaces. We explore the challenges and opportunities in designing conversational agents that can engage users effectively while understanding and responding appropriately to their queries. Additionally, we examine the various evaluation methods used to assess the performance and usability of these agents, highlighting the importance of user-centered design and iterative development processes. Through a comprehensive review of existing literature and case studies, we aim to provide insights and guidelines for designing and evaluating conversational agents that enhance user experience and interaction efficiency.

Downloads

Download data is not yet available.

References

Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.

Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "Transforming regulatory reporting with AI/ML: strategies for compliance and efficiency." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.1 (2023): 145-157.

K. Joel Prabhod, “ASSESSING THE ROLE OF MACHINE LEARNING AND COMPUTER VISION IN IMAGE PROCESSING,” International Journal of Innovative Research in Technology, vol. 8, no. 3, pp. 195–199, Aug. 2021, [Online]. Available: https://ijirt.org/Article?manuscript=152346

Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.

Perumalsamy, Jegatheeswari, Muthukrishnan Muthusubramanian, and Selvakumar Venkatasubbu. "Actuarial Data Analytics for Life Insurance Product Development: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.3 (2023): 1-35.

Devan, Munivel, Lavanya Shanmugam, and Manish Tomar. "AI-Powered Data Migration Strategies for Cloud Environments: Techniques, Frameworks, and Real-World Applications." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 79-111.

Pelluru, Karthik. "Advancing Software Development in 2023: The Convergence of MLOps and DevOps." Advances in Computer Sciences 6.1 (2023): 1-14.

Sistla, Sai Mani Krishna, and Bhargav Kumar Konidena. "IoT-Edge Healthcare Solutions Empowered by Machine Learning." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 126-135.

Pakalapati, Naveen, Bhargav Kumar Konidena, and Ikram Ahamed Mohamed. "Unlocking the Power of AI/ML in DevSecOps: Strategies and Best Practices." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 176-188.

Krishnamoorthy, Gowrisankar, and Sai Mani Krishna Sistla. "Exploring Machine Learning Intrusion Detection: Addressing Security and Privacy Challenges in IoT-A Comprehensive Review." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 114-125.

Gudala, Leeladhar, et al. "Leveraging Biometric Authentication and Blockchain Technology for Enhanced Security in Identity and Access Management Systems." Journal of Artificial Intelligence Research 2.2 (2022): 21-50.

Prabhod, Kummaragunta Joel. "Advanced Machine Learning Techniques for Predictive Maintenance in Industrial IoT: Integrating Generative AI and Deep Learning for Real-Time Monitoring." Journal of AI-Assisted Scientific Discovery 1.1 (2021): 1-29.

Tembhekar, Prachi, Lavanya Shanmugam, and Munivel Devan. "Implementing Serverless Architecture: Discuss the practical aspects and challenges." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 560-580.

Devan, Munivel, Kumaran Thirunavukkarasu, and Lavanya Shanmugam. "Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 522-546.

Tatineni, Sumanth, and Karthik Allam. "Implementing AI-Enhanced Continuous Testing in DevOps Pipelines: Strategies for Automated Test Generation, Execution, and Analysis." Blockchain Technology and Distributed Systems 2.1 (2022): 46-81.

Sadhu, Ashok Kumar Reddy. "Enhancing Healthcare Data Security and User Convenience: An Exploration of Integrated Single Sign-On (SSO) and OAuth for Secure Patient Data Access within AWS GovCloud Environments." Hong Kong Journal of AI and Medicine 3.1 (2023): 100-116.

Makka, A. K. A. “Comprehensive Security Strategies for ERP Systems: Advanced Data Privacy and High-Performance Data Storage Solutions”. Journal of Artificial Intelligence Research, vol. 1, no. 2, Aug. 2021, pp. 71-108, https://thesciencebrigade.com/JAIR/article/view/283.

Downloads

Published

2023-10-14

How to Cite

[1]
Dr. Dzmitry Tsetseruk, “Natural Language Interaction - Conversational Agents: Investigating design principles and evaluation methods for conversational agents and natural language interfaces for human-computer interaction”, J. of Artificial Int. Research and App., vol. 3, no. 2, pp. 150–159, Oct. 2023, Accessed: Sep. 19, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/171

Similar Articles

You may also start an advanced similarity search for this article.