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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

https://aircconline.com/ijgca/V16N2/16225ijgca02.pdf

Sungho Kim, Soyoung Jang, Seungwon Kim, Tarin Afrose Tithe et al.
International Journal of Grid Computing & Applications
AI in Service Interactions
article

https://aircconline.com/ijgca/V16N2/16225ijgca02.pdf

Sungho Kim, Soyoung Jang, Seungwon Kim, Tarin Afrose Tithe, Hamim Islam Hellol, Pritom Das, Sumaiya Arif
article en

Abstract

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.

International Journal of Grid Computing & ApplicationsVol. 16(2)
Openalex Percentile: Top 92%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

https://aircconline.com/ijgca/V16N2/16225ijgca02.pdf — Sungho Kim, Soyoung Jang, et al. · International Journal of Grid Computing & Applications (2025) | TGRS Research Map | TGRS