Investigating the impact of AI chatbots on library operations and information retrieval in academic libraries


Original Article

Author Details : Mohamed Idhris*, Manuelraj Peter

Volume : 9, Issue : 2, Year : 2024

Article Page : 132-134

https://doi.org/10.18231/j.ijlsit.2024.021



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Abstract

This research explores the potential impact of Artificial Intelligence (AI) chatbots on information retrieval within the context of university libraries. Focusing on the intersection of AI technology and library operations, the study aims to investigate how AI chatbots influence the process of retrieving information for library users. The research considers factors such as user experience, efficiency, and the integration of AI technology into existing library systems. The study anticipates an increase in user engagement and satisfaction due to the accessibility and responsiveness of AI chatbots in academic libraries. Findings are expected to demonstrate that chatbots significantly aid students in their research efforts, leading to better academic performance and resource utilization. The study aims to provide insights into how chatbots can optimize library operations, reducing response times and alleviating the workload of library staff. The research will culminate in practical recommendations for academic libraries on effectively integrating chatbots into their services, addressing both technical and user-related challenges.


Keywords: AI chatbot, Library, Library operations, Information retrieval


How to cite : Idhris M, Peter M, Investigating the impact of AI chatbots on library operations and information retrieval in academic libraries. IP Indian J Libr Sci Inf Technol 2024;9(2):132-134


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 12-10-2024

Accepted : 14-11-2024


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Article DOI

https://doi.org/ 10.18231/j.ijlsit.2024.021


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