Author(s)

Ying Fu ¹

Affiliation(s)

¹ Hubei University of Technology, Wuhan, Hubei, China

Corresponding Author

Ying Fu

ABSTRACT

This study investigates the application of Generative AI (GenAI) in human-AI collaborative reading promotion within Chinese university libraries, addressing the paradigm shift from 'resource pushing' to 'demand response.' Utilizing a case study methodology, it analyzes practices from libraries including Harbin Institute of Physical Education, Shijiazhuang University, and Shenyang University of Technology to examine AI's role across the entire activity chain: planning, resource provision, service implementation, and effect evaluation. The research finds that mature collaboration models exhibit a three-dimensional structure of 'technology empowerment, librarian leadership, and reader co-creation,' where the organic integration of intelligent tools and professional expertise enhances service coverage and engagement. However, the study also identifies persistent challenges, including technical immaturity and data security risks. It concludes by proposing strategic countermeasures—such as optimized technology selection, specialized talent cultivation, and robust system construction—to provide a practical reference for advancing intelligent reading promotion in the academic library sector.

KEYWORDS

Artificial Intelligence, University Libraries, Human-AI Collaboration, Reading Promotion

CITE THIS PAPER

Ying Fu, A Case Study of AI-Based Human-AI Collaboration in Reading Promotion within University Libraries. Information and Knowledge Management (2025) Vol. 6: 34-41. DOI: http://dx.doi.org/10.23977/infkm.2025.060206.

REFERENCES

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