RESEARCH PAPERS

From Replacement to Collaboration: A Study on the AIGC-Empowered Human-AI Collaborative Consultation Service Model for Libraries

  • Zhu Xinru ,
  • Duan Meizhen ,
  • Chu Jingli
Expand
  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190

Received date: 2025-10-17

  Revised date: 2025-11-27

  Online published: 2026-02-12

Abstract

[Purpose/Significance] Driven by the rapid advancement of AIGC technologies and the escalating sophistication of user knowledge demands, library consultation services face an urgent need to evolve from mere information delivery to meaningful knowledge empowerment. Current practices often reduce AIGC to a simple substitute for librarian, overlooking its potential for deep, synergistic collaboration with professional librarians. This study seeks to reaffirm the irreplaceable expertise of consulation librarians in the AI era and provide both theoretical grounding and practical pathways for transforming library consultation services from reactive “intelligent response” toward proactive “human-AI symbiosis.” [Method/Process] Drawing upon the theories of trustworthy artificial intelligence, human-machine collaboration, and activity systems, this paper constructs a theoretical framework for AIGC-empowered human-AI collaborative library consultation services, encompassing collaborative subject relationships, collaborative process logic, and collaborative organizational objectives. Based on this foundation, an innovative model is proposed, guided by the principles of “controllable knowledge structures, autonomous service processes, complementary human-AI collaboration, and diversified outcome delivery.” This model comprises six layers: objective, collaborative, data, technology, librarian competency, and outcome delivery. [Result/Conclusion] The study concludes that within this model, the ternary composite subjects of “user consulation librarian-AIGC” are deeply embedded in the service process. This dynamic collaboration enables automated responses to standardized queries and in-depth analysis of complex inquiries. It effectively balances service efficiency and quality, ensures the trustworthiness and traceability of generated content, and ultimately propels library consultation services towards intelligent, ecological, and sustainable knowledge production. This study proposes actionable pathways across four dimensions: strategic deployment, system development, talent cultivation, and ethical governance, providing systematic solution and actionable roadmap for advancing intelligent, ecological, and sustainable transformation in smart library consultation services.

Cite this article

Zhu Xinru , Duan Meizhen , Chu Jingli . From Replacement to Collaboration: A Study on the AIGC-Empowered Human-AI Collaborative Consultation Service Model for Libraries[J]. Library and Information Service, 2026 , 70(4) : 56 -70 . DOI: 10.13266/j.issn.0252-3116.2026.04.005

References

[1] 王伟正, 乔鸿, 李肖俊, 等. 大语言模型生成与学者撰写论文摘要对比分析与识别—— 以情报学领域为例[J]. 图书情报工作, 2025, 69(10): 84-96. (WANG W Z, QIAO H, LI X J,et al. Comparative analysis and identification between abstracts generated by large language models and written by scholars: a case study in the field of information science[J]. Library and information service, 2025, 69(10): 84-96.)
[2] 郭亚军, 寇旭颍, 冯思倩, 等. 大语言模型赋能图书馆参考咨询服务:逻辑、场景与体系[J]. 图书馆论坛, 2025, 45(1): 118-127. (GUO Y J, KOU X Y, FENG S Q, et al. Large language model empowers library reference services: logic, scenarios, and framework[J]. Library tribune, 2025, 45(1): 118-127.)
[3] 中华人民共和国文化和旅游部. 文化和旅游部关于印发《 “ 十四五” 公共文化服务体系建设规划》的通知[EB/OL]. [2025-04-02]. https://zwgk.mct.gov.cn/zfxxgkml/ggfw/202106/t20210623_925879.html. (Ministry of Culture and Tourism of the People’s Republic of China. Notice on the issuance of the “14th Five-Year Plan for the construction of the public cultural service system” [EB/OL]. [2025-04-02]. https://zwgk.mct.gov. cn/zfxxgkml/ggfw/202106/t20210623_925879.html.)
[4] IFLA. Developing a library strategic response to artificial intelligence [EB/OL]. [2025-04-02].https://www.ifla.org/g/ai/developing-a-library-strategic-response-to-artificial-intelligence/.
[5] ACRL. 2024 survey information-ACRL academic library trends and statistics-LibGuides at ACRL [EB/OL]. [2025-04-02]. https://acrl.libguides.com/stats/surveyhelp.
[6] ADETAYO A J. ChatGPT and librarians for reference consultations[J]. Internet reference services quarterly, 2023, 27(3): 131-147.
[7] COX C, TZOC E. ChatGPT: implications for academic libraries[J]. College & research libraries news, 2023, 84(3): 99.
[8] 施志唐. ChatGPT对图书馆的影响与应对措施[J]. 图书情报导刊, 2023, 8(4): 1-7. (SHI Z T. The impact of ChatGPT on libraries and countermeasures[J]. Journal of library and information science, 2023, 8(4): 1-7.)
[9] 罗坤明, 李子晟, 张磊, 等. 国产开源大模型赋能图书馆智慧化服务功能—— 以DeepSeek为例[J]. 图书馆理论与实践, 2025(5): 86-96. (LUO K M, LI Z S, ZHANG LEI, et al. Empowering intelligent library services with domestic opensource large models: a case study of DeepSeek[J]. Library theory and practice, 2025(5): 86-96.)
[10] HOUSTON A B, CORRADO E M. Embracing ChatGPT: implications of emergent language models for academia and libraries[J]. Technical services quarterly, 2023, 40(2): 76-91.
[11] RUBIN V L, CHEN Y M, THORIMBERT L M. Artificially intelligent conversational agents in libraries[J]. Library hi tech, 2010, 28(4): 496-522.
[12] ALLISON D. Chatbots in the library: is it time?[J]. Library hi tech, 2012, 30(1): 95-107.
[13] Lappalainen Y, Narayanan N. Aisha: a custom AI library chatbot using the ChatGPT API[J]. Journal of Web librarianship, 2023, 17(3): 37-58.
[14] 新浪财经. 今天是世界读书日, “ 顾朝夕” 带你逛国家图书馆 [EB/OL]. [2025-10-22]. https://finance.sina.com.cn/jjxw/2025-04-23/doc-ineucinc4635272.shtml. (Sina finance. Today is World Book Day: “Gu Chaoxi”leads a tour of the National Library [EB/OL]. [2025-10-22]. https://finance.sina. com.cn/jjxw/2025-04-23/doc-ineucinc4635272.shtml.)
[15] 郭培虹. ChatGPT赋能高校图书馆参考咨询服务的体系框架与应用研究[J]. 图书情报导刊, 2024, 9(10): 31-38. (GUO P H. Research on the system framework and application of ChatGPT empowering reference consultation service in university library[J]. Journal of library and information science, 2024, 9(10): 31-38.)
[16] 李小清, 梁宏伟. 网络环境下高校图书馆智能咨询服务模式研究[J]. 忻州师范学院学报, 2024, 40(2): 94-99. (LI X Q, LIANG H W. Research on the intelligent consulting service model of university library in the network environment[J]. Xinzhou Normal University, 2024, 40(2): 94-99.)
[17] 富国瑞, 王平利, 王一展, 等. 基于大语言模型的高校图书馆智能参考咨询服务构建与应用研究―― 以山东大学图书馆为例[J]. 图书馆杂志, 2025, 44(12): 31-40, 47. (FU G R, WANG P L, WANG Y Z, et al. Research on the construction and application of intelligent reference service in university libraries based on large language model: taking Shandong University Library as an example[J]. Library journal, 2025, 44(12): 31-40, 47.)
[18] 鲁尚武, 毛海靖, 汪洋, 等. 大语言模型驱动的图书馆咨询服务系统[J]. 电脑知识与技术, 2025, 21(27): 32-36. (LU S W, MAO H J, WANG Y, et al. Large language model-driven library consultation service system[J]. Computer knowledge and technology, 2025, 21(27): 32-36.)
[19] 汤浩家. 生成式AI回答事实型参考咨询问题的效果与启示 [J]. 图书馆研究与工作, 2025(5): 24-31. (TANG H J. The effectiveness and implications of generative AI in answering factbased questions in reference services[J]. Library science research & work, 2025(5): 24-31.)
[20] 曹树金, 曹茹烨. 从ChatGPT看生成式AI对情报学研究与实践的影响[J]. 现代情报, 2023, 43(4): 3-10. (CAO S J, CAO R Y. Influence of generative AI on the research and practice of information science from the perspective of ChatGPT[J]. Journal of modern information, 2023, 43(4): 3-10.)
[21] 章洁, 洪芳林. 迈向有序AI: 智慧图书馆AIGC数据治理机制与策略[J]. 图书馆建设, 2025(2): 119-131. (ZHANG J, HONG F L. Moving towards orderly AI: research on AIGC data governance mechanisms and strategies for smart libraries[J]. Library development, 2025(2): 119-131.)
[22] 李玲. 生成式人工智能与图书馆读者隐私信息泄露的生成与防范—— 基于信息权力不对称理论视角[J]. 图书情报导刊, 2024, 9(11): 7-14. (LI L. Generative artificial intelligence and the generation and prevention of leakage of library readers’ private information: based on information power asymmetry theory perspective [J]. Journal of library and information science, 2024, 9(11): 7-14.)
[23] 李佳轩, 储节旺, 杜秀秀. 关联、黑箱与赋能: AIGC驱动智慧图书馆的转型路径[J]. 图书情报工作, 2023(23): 18-27. (LI J X, CHU J W, DU X X. Connection, black box and empowerment: the path of AIGC to drive the transformation of smart libraries [J]. Library and information service, 2023(23): 18-27.)
[24] AMERSHI S, WELD D, VORVOREANU M, et al. Guidelines for human-AI interaction[C]//Proceedings of the 2019 CHI conference on human factors in computing systems. New York: ACM, 2019: 1-13.
[25] 罗然. 基于生成式AI的图书馆智能问答机器人人智交互行为及交互效果研究[D]. 长春: 吉林大学, 2025. (LUO R. Research on human-AI interaction behavior and performance of library chatbot based on generative AI[D]. Changchun: Jilin University, 2025.)
[26] 岳彦龙, 罗江华, 李宏展. 从支持到协同再到共生:知识建构的演进脉络、形态重塑与未来图景—— 基于技术发展视角[J]. 开放教育研究, 2025, 31(5): 70-78. (YUE Y L, LUO J H, LI H Z. From support to collaboration to symbiosis: the evolutionary trajectory, morphological transformation, and future vision of knowledge building with a technological development perspective[J]. Open education research, 2025, 31(5): 70-78.)
[27] STEYVERS M, TEJEDA H, KERRIGAN G, et al. Bayesian modeling of human-AI complementarity[J]. Proceedings of the National Academy of Sciences, 2022, 119(11): e2111547119.
[28] JIANG N, LIU X, LIU H, et al. Beyond AI-powered contextaware services: the role of human-AI collaboration[J]. Industrial management & data systems, 2023, 123(11): 2771-2802.
[29] 李浩君, 黄沁儒, 陈伟, 等. 人智协同迭代共生教学模式研究——AIGC的融入与实践效果分析[J]. 现代教育技术, 2025, 35(1): 1-12. (LI H J, HUANG Q R, CHEN W, et al. Research on human-AI collaborative iterative symbiosis teaching mode: analysis of the integration and practical effect of AIGC[J]. Modern educational technology, 2025, 35(1): 1-12.)
[30] 郑继来. 基于GenAI的高校图书馆人智协同阅读推广模式研究[J]. 情报探索, 2025(5): 113-119. (ZHENG J L. Research on the promotion model of human-AI collaborative reading in university libraries based on GenAI[J]. Information research, 2025(5): 113-119.)
[31] 张进澳, 陈亮, 陈红丽. 生成式人工智能环境下人智协同的前沿分析与机会挖掘—— 基于扎根理论的综述研究[J]. 数字图书馆论坛, 2024, 20(6): 23-32. (ZHANG J A, CHEN L, CHEN H L. Frontier analysis and opportunity mining of humanAI collaboration in GAI environment: literature review based on grounded theory[J]. Digital library forum, 2024, 20(6): 23-32.)
[32] 蒋斌斌. 面向人机协同的智慧图书馆生成式AI信息交互服务模式研究[J]. 江苏科技信息, 2025, 42(12): 80-83, 92. (JIANG B B. Research on the generative AI information interaction service model for human computer collaboration in smart libraries[J]. Jiangsu science and technology information,2025,42(12): 80-83,92.)
[33] SMUHA N A. The EU approach to ethics guidelines for trustworthy artificial intelligence[J]. Computer law review international, 2019, 20(4): 97-106.
[34] SHNEIDERMAN B. Human-centered artificial intelligence: reliable, safe & trustworthy[J]. International journal of humancomputer interaction, 2020, 36(6): 495-504.
[35] ENGESTRÖM Y. Expansive learning at work: toward an activity theoretical reconceptualization[J]. Journal of education and work, 2001, 14(1): 133-156.
[36] 郭亚军, 徐苑茜, 梁艳丽, 等. 从ChatGPT到DeepSeek: 生成式人工智能迭代对图书馆的影响[J]. 图书馆论坛, 2025, 45(7): 140-149. (GUO Y J, XU W Q, LIANG Y L, et al. From ChatGPT to DeepSeek: the impact of generative artificial intelligence iterations on libraries[J]. Library tribune, 2025, 45(7): 140-149.)
[37] 孙坦, 张智雄, 周力虹, 等. 人工智能驱动的第五科研范式(AI4S)变革与观察[J]. 农业图书情报学报, 2023, 35(10): 4-32. (SUN T, ZHANG Z X, ZHOU L H, et al. The transformation and observations of AI for Science (AI4S) driven by artificial intelligence[J]. Journal of library and information science in agriculture, 2023, 35(10): 4-32.)
[38] 初景利, 秦小燕. 从“ 地心说” 到“ 日心说”—— 从以图书馆为中心到以用户为中心的转型变革[J]. 图书情报工作, 2018, 62(13): 5-10. (CHU J L, QIN X Y. From “geocentric theory” to “heliocentric theory”: the transformation from librarycentered to user-centered[J]. Library and information servicee, 2018, 62(13): 5-10.)
Outlines

/

〈 〉