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Comparing generative artificial intelligence tools to voice assistants using reference interactions.

Authors :
Wheatley, Amanda
Hervieux, Sandy
Source :
Journal of Academic Librarianship. Sep2024, Vol. 50 Issue 5, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This study investigates the ability of voice assistants and generative AI tools to respond to reference questions traditionally received by academic librarians. The authors created a sample of 25 questions based on queries received on the virtual reference service at their institution. They then created a rubric to evaluate the quality of the answers that the AI powered tools provided. The authors determined that the tools understand reference questions well and provide relevant answers but that the quality of the references provided, and the accuracy of the answers can be lacking. They suggest that more research needs to be done to understand the place of AI powered tools in reference services. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00991333
Volume :
50
Issue :
5
Database :
Academic Search Index
Journal :
Journal of Academic Librarianship
Publication Type :
Academic Journal
Accession number :
179600882
Full Text :
https://doi.org/10.1016/j.acalib.2024.102942