Research on the Scenario-Based Service Model and Application Path of Smart Library Enabled by AIGC

Zhang Yanfeng; He Wanting

doi:10.13266/j.issn.0252-3116.2026.15.008

Library and Information Service >

2026 , Vol. 70 >Issue 15: 104 - 114

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.15.008

RESEARCH PAPERS

Research on the Scenario-Based Service Model and Application Path of Smart Library Enabled by AIGC

Zhang Yanfeng ,
He Wanting

Expand

School of Public Administration, Xiangtan University, Xiangtan 411105

Zhang Yanfeng, PhD, Associate Professor, Master's Supervisor; He Wanting, Master's Candidate, Corresponding Author, E-mail:19375172087@163.com.

Received date: 2025-09-01

Revised date: 2025-11-26

Online published: 2026-07-30

Supported by

This work is one of the research results of the Hunan Provincial Philosophy and Social Sciences General Project “Research on the Space Reshaping and Innovation of Provincial Library in the Network Environment” (Grant No. 22YBQ056).

Fold

Abstract

[Purpose/Significance] This study investigates the scenario-based service models and application pathways of Artificial Intelligence Generated Content (AIGC) technologies in enabling smart libraries, with the aim of providing theoretical reference and practical guidance for the transformation and upgrading of scenario-oriented services in smart libraries. [Method/Process] Based on an analysis of the technical principles of large-scale AIGC models and its application status, and integrating the characteristics of smart library environments, data, and services, this study constructs a service system architecture for smart libraries empowered by AIGC. The architecture is composed of the infrastructure layer, the algorithm support layer, the data resource layer, and the service application layer. On the basis of the core elements of scenario-based services, four typical application scenarios are identified, including personalized reading services, intelligent space construction, social and cultural dissemination, and intelligent maintenance and management. In addition, the application logic of AIGC within the architecture and scenarios is systematically analyzed. Drawing on dissipative structure theory, a scenario-based service model is constructed, consisting of physical entities, virtual entities, an AIGC entropy-reduction engine, and real-time interaction interfaces. The operational mechanism and technological enabling logic of this model are further elaborated. [Results/Conclusion] AIGC technology demonstrates broad application prospects in smart libraries. Through bidirectional iterative optimization between physical and virtual libraries, supported by the entropy-reduction engine and real-time interaction interfaces, more precise and diversified scenario-based services are enabled. This facilitates a shift from precise user identification to precise scenario identification. Key implementation pathways for AIGC-enabled scenario-based services in smart libraries are stated, including technological infrastructure upgrading, intelligent service optimization, resource revitalization, and librarian role transformation. [Innovation/Value] This study adopts dissipative structure theory as the underlying analytical framework and conceptualizes AIGC as an entropy-reduction engine within the smart library system. It explains how AIGC drives the evolution of smart libraries from disorder to order and enables bidirectional virtual–physical iteration. This provides theoretical support for the sustainable development of smart libraries and offers practical insights for the construction of national smart library systems and the planning of digital development during the “15th Five-Year Plan” period. [Insufficient/ Improvement] The application of AIGC in libraries may raise issues related to intellectual property, content evaluation, privacy protection, and risk governance. Future research should strengthen foundational technological development, deepen the integration of AIGC in smart library systems, and systematically consider technological, data, and human factors, while exploring risk mitigation mechanisms and governance strategies for emerging challenges associated with technological innovation.

Key words： AIGC; smart library; application scenario; scenario-based service; application path

Cite this article

Zhang Yanfeng , He Wanting . Research on the Scenario-Based Service Model and Application Path of Smart Library Enabled by AIGC[J]. Library and Information Service, 2026 , 70(15) : 104 -114 . DOI: 10.13266/j.issn.0252-3116.2026.15.008

References

[1] 经济网. 中共二十届三中全会在京举行[EB/ OL]. [2026-01-12]. https://www.ceweekly.cn/ news/ important/2024/0719/449893.html. (Jingji Net. The third plenary session of the 20th Central Committee of the Communist Party of China was held in Beijing[EB/OL]. [2026-01-12]. https://www. ceweekly.cn/news/important/2024/0719/449893.html.)
[2] 左平熙. 大数据时代高校图书馆智慧服务的逻辑与路径[J]. 图书馆工作与研究, 2021(5): 48-54. (ZUO P X. Logic and path of university library’s intelligent service in the era of big data[J]. Library work and study, 2021(5): 48-54.)
[3] 张鹏, 方彪. 生成式人工智能赋能下的AIGC虚拟数字人：图书馆用户服务的机遇与挑战[J]. 图书馆, 2024(6): 46-52, 81. (ZHANG P, FANG B. AIGC virtual digital humans empowered by generative artificial intelligence: opportunities and challenges in library user services[J]. Library, 2024(6): 46-52, 81.)
[4] 郭亚军, 郭一若, 李帅, 等. ChatGPT赋能图书馆智慧服务：特征、场景与路径[J]. 图书馆建设, 2023(2): 30-39, 78. (GUO Y J, GUO Y R, LI S, et al. ChatGPT empowers library smart service: characteristics, scenarios and realization paths[J]. Library development, 2023(2): 30-39, 78.)
[5] 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, 67(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, 67(23): 18-27.)
[6] 赵杨, 张雪, 范圣悦. AIGC驱动的智慧图书馆转型：框架、路径与挑战[J]. 情报理论与实践, 2023, 46(7): 9-16. (ZHAO Y, ZHANG X, FAN S Y. AIGC-driven intelligent library transformation: framework, pathways and challenges[J]. Information studies: theory & application, 2023, 46(7): 9-16.)
[7] 丁遒劲, 苏静. 面向生成式人工智能（ AIGC）的图书馆信息资源建设优化策略研究[J]. 图书情报工作, 2024, 68(18): 23-31. (DING Q J, SU J. Research on the optimization strategies for library information resources construction oriented to the development of AIGC[J]. Library and information service, 2024, 68(18): 23-31.)
[8] 蔡丹丹, 宋歌笙, 刘炜. 以AIGC创新图书馆知识服务[J]. 图书馆杂志, 2023, 42(12): 36-44. (CAI D D, SONG G S, LIU W. AIGC and library knowledge services[J]. Library journal, 2023, 42(12): 36-44.)
[9] 吴若航, 茆意宏. 生成式人工智能驱动图书馆阅读服务变革[J]. 图书情报工作, 2023, 67(22): 80-87. (WU R H, MAO Y H. Transformation of library reading services driven by generative artificial intelligence[J]. Library and information service, 2023, 67(22): 80-87.)
[10] 张鼎. 生成式人工智能在图书馆新媒体中的应用探索[J]. 新媒体研究, 2025, 11(8): 50-53. (ZHANG D. Exploration on the application of generative artificial intelligence in library new media[J]. New media research, 2025, 11(8): 50-53.)
[11] KUMAR N, KUMAR P. Application of smart technology in libraries.3 DLA - SRFLIS Summit 2019[C]. University of Delhi, 2019.
[12] AZUBUIKE F, EMEKA U. Smart technology and artificial intelligence in libraries: a Synergy for library service optimization[J]. Global review of library and information science, 2021, 17: 1-12.
[13] PENCE H E. Future of artificial intelligence in libraries[J]. The reference librarian, 2022, 63(4): 133-143.
[14] DARADKEH M. Intelligent Libraries: Using metaverse as an enabling technology[M] //Applications of neuromarketing in the metaverse. IGI Global, 2023: 1-18.
[15] ALA|Core. Generative AI and Libraries [EB/OL]. [2026-01-12]. https://www.ala.org/ core /generative-ai-and-libraries.
[16] 郭全中, 张金熠. AI+人文: AIGC的发展与趋势[J]. 新闻爱好者, 2023(3): 8-14. (GUO Q Z, ZHANG J Y. AI+humanities: development and trends of AIGC[J]. Journalism lover, 2023(3): 8-14.)
[17] 中国通信院, 京东探索研究院. 人工智能生成内容(AIGC)白皮书[EB/OL]. [2026-01-12]. http: //www.caict.ac.cn/ sytj/202209/t20220913_408835.htm. (China Academy of Information and Communications Technology, JD explore research institute. White paper on Artificial intelligence generated content (AIGC)[EB/OL]. [2026-01-12]. http://www. caict.ac.cn/sytj/202209/t20220913_408835.htm.)
[18] Lewis D, Moorkens J. A rights-based approach to trustworthy AI in social media[J]. Social media+society, 2020, 6(3): 1-13.
[19] 李白杨, 白云, 詹希旎, 等. 人工智能生成内容（ AIGC）的技术特征与形态演进[J]. 图书情报知识, 2023, 40(1): 66- 74. (LI B Y, BAI Y, ZHAN X N, et al. The technical features and aromorphosis of artificial intelligence generated content(AIGC) [J]. Documentation, information & knowledge, 2023, 40(1): 66- 74.)
[20] 李旭光, 胡奕, 王曼, 等. 人工智能生成内容研究综述：应用、风险与治理[J]. 图书情报工作, 2024, 68(17): 136-149. (LI X G, HU Y, WANG M, et al. A review of AI-generated content research: applications, risks, and governance[J]. Library and information service, 2024, 68(17): 136-149.)
[21] 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 L, et al. Empowering intelligent library services with domestic opensource large models: a case study of DeepSeek[J]. Information studies: theory & application, 2025(5): 86-96.)
[22] 刘炜, 张磊, 嵇婷, 等. 以AI塑形智慧图书馆：基于智能体的下一代图书馆服务平台[J]. 农业图书情报学报, 2025, 37(5): 15-26. (LIU W, ZHANG L, JI T, et al. Shaping the smart libraries with AI: an agent-based, next-generation library service platform[J]. Journal of library and information science in agriculture, 2025, 37(5): 15-26.)
[23] 李成, 徐佳宁. AIGC赋能图书馆用户服务的价值、策略及挑战研究[J]. 图书馆理论与实践, 2025(2): 72-79. (LI C, XU J N. Research on the value, strategies, and challenges of AIGC empowering library user services[J]. Library theory and practice, 2025(2): 72-79.)
[24] 谢鹏. 多模式智能机器人协同下的图书馆创新服务研究与实践—— 以北京城市图书馆为例[J]. 图书馆杂志, 2025, 44(5): 51-63. (XIE P. Research and practice of library innovative services supported by multi-modal intelligent robots: a case study of Beijing library[J]. Library journal, 2025, 44(5): 51-63.)
[25] 杨新涯, 戴立伟, 钱国富. DeepSeek在图书馆的应用场景构架研究[J]. 图书馆论坛, 2025, 45(10): 90-97. (YANG X Y, DAI L W, QIAN G F. Research on the application scenario framework of DeepSeek in libraries[J]. Library tribune, 2025, 45(10): 90- 97.)
[26] 张艳丰, 欧志梅. 数字孪生技术驱动下智慧图书馆场景化服务模式研究[J]. 情报理论与实践, 2022, 45(8): 47-53. (ZHANG Y F, OU Z M. Research on the scenario-based service mode of smart libraries driven by digital twin technology[J]. Information studies: theory & application, 2022, 45(8): 47-53.)
[27] 中国通信院. 数字孪生城市研究报告（ 2019年） [EB/OL]. [2026-01-13]. https://www.caict.ac.cn/kxyj/qwfb/bps/201910/ P020191011522620518262.pdf. (China Academy of Information and Communications Technology. Research report on digital twin city (2019)[EB/OL]. [2026-01-13]. https://www.caict.ac.cn/kxyj/ qwfb/bps/201910/P020191011522620518262.pdf.)
[28] 杨甜. 数字治理驱动图书馆智慧化建设的内在逻辑、风险挑战与应对策略[J/OL]. 高校图书馆工作, 1-7[2026-01- 13]. https://link.cnki.net/urlid/43.1032.G2.20251103.0845.002. (YANG T. The internal logic, risks and challenges, and response strategies of digital governance driving the intelligent construction of libraries[J/OL]. Library work in colleges and universities, 1-7[2026-01-13]. https://link.cnki.net/urlid/43.1032. G2.20251103.0845.002.)
[29] 蔡子凡, 蔚海燕. 人工智能生成内容（ AIGC）的演进历程及其图书馆智慧服务应用场景[J]. 图书馆杂志, 2023, 42(4): 34-43, 135-136. (CAI Z F, YU H Y. Evolution of artificial intelligence generated content(AIGC) and its application scenario of library intelligent service[J]. Library journal, 2023, 42(4): 34- 43, 135-136.)
[30] 王东波. 图书馆场景服务的要素分析与内容实现[J]. 图书馆学研究, 2017(1): 60-64. (WANG D B. Element analysis and content realization of the library scene service[J]. Research on library science, 2017(1): 60-64.)
[31] 胡谦锋. 基于生成式人工智能的高校智慧图书馆用户画像数据管理研究[J]. 图书馆工作与研究, 2025(7): 31-39. (HU Q F. Research on user profile data management in university smart library based on generative artificial intelligence[J]. Library and information service, 2025(7): 31-39.)
[32] 刘炜, 赵冬梅. 图书馆智慧空间建设：概念、演变、评价与设计[J]. 图书情报工作, 2022, 66(1): 122-130. (LIU W, ZHAO D M. Construction of library smart space: concept, evolution, evaluation and design[J]. Library and information service, 2022(1): 122-130.)
[33] 张振. DeepSeek赋能智慧图书馆建设：应用场景、风险挑战与应对策略[J]. 图书馆工作与研究, 2025(S1): 36-40. (ZHANG Z. DeepSeek empowering smart libraries construction: application scenes, risk challenges, and response strategies[J]. Library work and study, 2025(S1): 36-40.)
[34] 宋西贵, 王平利, 万益嘉, 等. AI时代高校图书馆开放创新生态构建：美国国会图书馆Innovator in Residence项目的启示[J]. 大学图书馆学报, 2025, 43(6): 82-92. (SONG X G, WANG P L, WAN Y J, et al. Building an open innovation ecosystem for university libraries in the age of AI: enlightenment from the Innovator in Residence project of the library of congress[J]. Journal of academic libraries, 2025, 43(6): 82-92.)
[35] 刘炜, 金家琴, 单蓉蓉. 新一代人工智能与未来图书馆建设[J]. 图书馆理论与实践, 2025(3): 1-16. (LIU W, JIN J Q, SHAN R R. The next generation of artificial intelligence and future library construction[J]. Information studies: theory & application, 2025(3): 1-16.)
[36] 颜泽贤, 范冬萍, 张华夏. 系统科学导论—— 复杂性探索[M]. 北京: 人民出版社, 2006: 41-42. (YAN Z X, FAN D P ZHANG H X. An introduction to systems science——complexity exploration[M]. Beijing: People’s Publishing House, 2006: 41- 42.)
[37] 王翠萍, 申继康. 生成式人工智能赋能智慧图书馆模型构建与应用研究—— 基于耗散结构理论[J]. 图书馆学研究, 2025(9): 14-23. (WANG C P, SHEN J K. Model construction and application of generative artificial intelligence enabled smart libraries: based on dissipative structure theory[J]. Research on library science, 2025(9): 14-23.)
[38] 刘国钧. 图书馆学概论[J]. 图书情报工作, 2007, 51(3): 6-11. (LIU G J. An introduction to library science[J]. Library and information service, 2025, 51(9): 6-11.)
[39] 吴慰慈, 董焱. 图书馆学概论(第四版)[M]. 北京: 国家图书馆出版社, 2019: 248. (WU W C, DONG Y. Introduction to library science (4th edition)[M]. Beijing: National Library of China Press, 2019: 248.)
[40] 王洁, 马迪倩. 当文明遇见AI:DeepSeek赋能图书馆服务模式分析[J]. 高校图书馆工作, 2025, 45(5): 10-15. (WANG J, MA D Q. When civilization meets AI: an analysis of library service models empowered by DeepSeek[J]. Library work in colleges and universities, 2025, 45(5): 10-15.)
[41] 柳益君, 何胜, 熊太纯, 等. 知识图谱在高校图书馆智慧服务中应用研究[J]. 图书馆工作与研究, 2019(11): 5-10. (LIU Y J, HE S, XIONG T C, et al. Research on the application of knowledge graph in smart service of university library[J]. Library work and study, 2019(11): 5-10.)
[42] 张涵. AI赋能综合档案馆智慧化转型的基本逻辑、应用场景和实践路径[J]. 档案学刊, 2025(4): 64-75. (ZHANG H. The basic logic, application scenarios and practical paths of AIpowered intelligent transformation of comprehensive archives[J]. Academic journal of archives, 2025(4): 64-75.)
[43] 文化和旅游部. 文化旅游部关于印发《 “ 十四五” 公共文化服务体系建设规则》的通知[EB/OL]. [2026-01-13]. https://www.mct.gov.cn/preview/whhlyqyzcxxfw/wlrh/202107/ t20210702_926178.html. (Ministry of Culture and Tourism. Notice on issuing the“14th Five-Year plan for the construction of the public cultural service system”[EB/OL]. [2026-01-13]. https://www.mct.gov.cn/preview/whhlyqyzcxxfw/wlrh/202107/ t20210702_926178.html.)
[44] 肖铮, 黄国凡. ACRL 2020年学术图书馆趋势报告解读及其对我国高校图书馆“ 十四五” 规划的启示[J]. 图书馆学研究, 2020(24): 2-7, 21. (XIAO Z, HUANG G F. An interpretation of ACRL 2020 top trends in academic libraries and its inspirations to the 14th Five-Year plan of Chinese academic libraries[J]. Research on library science, 2020(24): 2-7, 21.)

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References