https://aircconline.com/ijgca/V16N2/16225ijgca02.pdf
AI-driven chatbots and virtual assistants have revolutionized human-computer interaction across various industries, including customer service, healthcare, e-commerce, and finance. These intelligent systems leverage natural language processing (NLP), machine learning (ML), and deep learning techniques to understand user intent, provide personalized responses, and automate routine tasks. Recent advancements in AI have significantly enhanced chatbot capabilities, enabling more human-like conversations and improved decision-making. Despite their growing adoption, challenges such as data privacy concerns, ethical considerations, and limitations in contextual understanding remain. This paper explores the evolution, applications, benefits, and challenges of AI-driven chatbots and virtual assistants, highlighting their impact on business efficiency and user experience. Furthermore, it discusses future trends in AI development, emphasizing the role of large language models and multimodal interactions in shaping the next generation of virtual assistants.
Authors
- Sungho Kim
- Soyoung Jang
- Seungwon Kim
- Tarin Afrose Tithe
- Hamim Islam Hellol
- Pritom Das
- Sumaiya Arif
Publication Details
- Journal
- International Journal of Grid Computing & Applications
- Published
- 2025-06-28
- DOI
- https://doi.org/10.5121/ijgca.2025.16202
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00