Author(s)

Tianling Guan ¹

Affiliation(s)

¹ Library, Guangdong Ocean University, Yangjiang, China

Corresponding Author

Tianling Guan

ABSTRACT

Artificial intelligence is driving libraries into a new phase of human‑machine collaborative services. From a purely theoretical perspective, this paper defines the core concepts of human‑machine collaboration mode, library AI librarians, and aging‑adaptive services. Supported by theories such as the digital divide and collaborative governance, it analyzes four major theoretical dilemmas in this field and their root causes, including cognitive biases in needs assessment. Guided by the principle of demand orientation, a four‑dimensional closed‑loop service mechanism encompassing stakeholders, needs, technology, and rules is constructed. Optimization pathways and a support system are proposed. The study enriches relevant theories, provides theoretical guidance for libraries to balance technological empowerment with humanistic care and promote equal access to public cultural services, and identifies research limitations and future directions.

KEYWORDS

AI Librarian, Aging‑Adaptive Services, Service Mechanism, Digital Divide

CITE THIS PAPER

Tianling Guan, Research on the Aging‑Adaptive Service Mechanism of AI Librarians in Libraries under Human‑Machine Collaboration Mode. Information and Knowledge Management (2025) Vol. 6: 110-117. DOI: http://dx.doi.org/10.23977/infkm.2025.060214.

REFERENCES

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