Evaluation of AI-Based Library Research Assistant
Title
Evaluation of AI-Based Library Research Assistant
Description
Presentation at the CALA Canada 2026 Annual Event
Creator
Li, Yanli
Source
CALA Canada 2026 Annual Event
Publisher
Chinese American Librarians Association
Date
2026-05-28
Rights
https://creativecommons.org/licenses/by/4.0/
Format
application/pdf
Language
eng
Type
Text; Presentation
Abstract
As part of the Ontario Council of University Libraries (OCUL)’s Collaborative Futures (CF) initiative, Omni is a shared library system that allows for discovery of academic sources across 19 Ontario universities. In 2024, Ex Libris introduced a new AI-based Research Assistant in Primo VE, and each CF library can choose whether to enable it. At Laurier Library, the User Services Librarian led a two phase consultation process: Phase 1 focused on developing evaluation criteria, and Phase 2 involved testing the tool. As a subject librarian, the presenter volunteered to participate in Phase 2. In this session, she will share her experience assessing the AI-based Research Assistant using nine criteria and conducting a mock teaching session to evaluate its teachability. These insights may help other libraries undertake similar reviews of AI-driven tools.
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Citation
Li, Yanli, “Evaluation of AI-Based Library Research Assistant,” CALASYS - CALA Academic Resources & Repository System, accessed June 13, 2026, https://ir.cala-web.org/items/show/1563.