Estd Year 2015 | ISSN : 2455-104X | Email : editors.ijrls@gmail.com

AI-Driven Library Systems: Transforming Information Seeking Behaviour and Satisfaction in the Digital Era

Author(s):  Kashinath J. Dhage & Dr. Chetana Bhorhari Verma

Abstract - In the rapidly evolving digital landscape, libraries are increasingly integrating Artificial Intelligence (AI) technologies to meet the dynamic needs of users and enhance service delivery. This paper explores the transformative role of AI in shaping user information-seeking behaviour and improving user satisfaction within modern library environments. It examines how AI tools such as chatbots, semantic search engines and recommendation systems are redefining user interaction, streamlining access to information and personalizing services. Key findings highlight improvements in search capabilities, accessibility, user engagement, and operational efficiency, while also addressing ethical concerns such as data privacy, algorithmic bias and the digital divide. The paper concludes with strategic recommendations for sustainable and equitable AI integration, emphasizing the importance of human-AI collaboration, inclusive design, staff training and policy development. This research offers a comprehensive understanding of how AI is transforming libraries into user-centred, intelligent information ecosystems in the 21st century.

Keywords - Artificial Intelligence (AI); Information Seeking Behaviour; User Satisfaction; AI in Libraries; Digital Library Services; Semantic Search; AI Chatbots; Personalized Information Retrieval.

crossref logo 300x99                      DOI URL: https://doi.org/10.26761/ijrls.11.2.2025.1906

Cite This Article As: Dhage, K.J. & Verma, C.B. (2025) AI-Driven Library Systems: Transforming Information Seeking Behaviour and Satisfaction in the Digital Era.  International Journal of Research in Library Science (IJRLS), 11(2) 332-340. www.ijrls.in

Copyright © 2025 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.

 

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Paper ID: IJRLS-1906    Page: 332-340    Publication Date: 28 June 2025

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