Artificial Intelligence as a Factor in Attracting Users to the Library
https://doi.org/10.20913/1815-3186-2025-2-15-21
Abstract
The aim of the study is to analyze the efficiency of the artificial intelligence (AI) application to library and information service to attract young people. The example of the branch of the MAUK Centralized City Library System of Tyumen Industrial Park "Litera" is used to analyze the main areas of application of AI technologies in the activities of a public library. Particular attention is paid to mass library and information services. An example of the training courses "Neural Networks for Schoolchildren" implemented with the support of the library partners and cultural and educational events is given. Statistical data have confirmed that AI tools make the library more attractive and interesting for teenagers and young people. Using the example of the local history project "Neuro-immersion in Tyumen", the experience of effectively including interactive elements in the event using neural networks is presented, and that have made it possible to influence the emotional level, reveal the creative potential of the participants and, as a result, arise great interest among library users. Photographs of the historical and cultural heritage of the hometown and their creative rethinking play a key role in shaping the identity of the local community. AI offers innovative solutions for working with photographs, allowing not only to preserve, but also to actively popularize local history content.
About the Author
E. N. Plakhutina
Municipal Autonomous Cultural Institution of the City of Tyumen "Centralized City Library System"
Russian Federation
Russian Federation
Plakhutina Ekaterina Nikolaevna, Candidate of Pedagogic Sciences, Head, Industrial Park "Litera"
5 Talnikovaya St., Tyumen, 625055
References
1. Bagdasaryan RKh and Matveeva AS (2024) Possibilities of using artificial intelligence in a modern library. Ekonomika i predprinimatel’stvo 10: 1145–1148. (In Russ.).
2. Brazhnikov AA (2023) On the possibilities of using artificial intelligence in a modern library. Ekonomika. Obshchestvo. Chelovek: materialy nats. nauch.-prakt. konf. s mezhdunar. uchastiem. Belgorod, pp. 23–28. (In Russ.).
3. Dyatlova NV and Bagdasaryan RKh (2024) Introduction of artificial intelligence into libraries to improve user service. Chelovek. Sotsium. Obshchestvo S4: 30–36. (In Russ.).
4. Kaiser OYu (2021) Children of the Alpha generation as a new challenge to classical modern pedagogy. Voprosy ustoichivogo razvitiya obshchestva 6: 850–857. (In Russ.).
5. Kapterev AI (2023) Cognitive management and artificial intelligence in libraries: possibilities and features. Nauchnye i tekhnicheskie biblioteki 6: 113–137. (In Russ.).
6. Kurbanov AI (2024) Library services based on artificial intelligence: opportunities, problems and ethical aspects. Universum: tekhnicheskie nauki 12-1: 21–23. (In Russ.).
7. Laufer KM (2021) Man and artificial intelligence: who and how thinks in the digital age. Filosofiya i kul’tura informatsionnogo obshchestva: tez. dokl. Devyatoi mezhdunar. nauch.- prakt. konf. Saint Petersburg, pp. 81–83. (In Russ.).
8. Ledeneva YuYu (2024) Artificial intelligence in university libraries: trends, limitations and prospects. Vestnik RMAT 3: 76–84. (In Russ.).
9. Markova TB (2024) Digital transformation in libraries: neural networks, artificial intelligence, robots. Informatsiya–Kommunikatsiya– Obshchestvo 1: 279–283. (In Russ.).
10. Matveev MYu (2024) Artificial intelligence, libraries and the future of civilization: opinions and doubts. Natsional’naya biblioteka 2: 2–9. (In Russ.).
11. Melnikov EV (2024) Possibilities of neural networks for libraries. Informatsionnyi byulleten’ RNTB 1: 21–23. (In Russ.).
12. Neshcheret MYu (2024) Neural networks in the library: new in bibliographic services. Nauchnye i tekhnicheskie biblioteki 1: 105–128. (In Russ.).
13. Nikolaeva RE and Dolgina YaK (2023) Comparative analysis of preferences in the animation of children of generation Z and children of the Alpha generation. Kompleksnye issledovaniya detstva 5 (2): 118–123. (In Russ.).
14. Osipov AV (2023) Experience and prospects of using generative neural networks in the work of a scientific library. Tsifrovaya transformatsiya bibliotek uchrezhdenii vysshego obrazovaniya: materialy obl. nauch.-prakt. konf. Vitebsk, pp. 36–40. (In Russ.).
15. Stolyarov YuN (2022) Artificial intelligence and the book library industry: directions for developing the problem. Nauchnye i tekhnicheskie biblioteki 1: 17–34. (In Russ.).
16. Trezov IA and Fedyushkina YuN (2024) Neural network as a tool in the work of a scientific library. Innovatsii i kachestvo vysshego obrazovaniya: materialy II Region. nauch.-metod. konf. Donetsk, pp. 481–483. (In Russ.).
17. Yu Zhengyu (2024) From simplifying art to simplifying thinking: the relationship between the digitalization of art and the formation of clip thinking. Nauchnyi aspekt 33 (1): 4232–4237. (In Russ.).
18. Khoroshavina UV (2024) Generative artificial intelligence in the library: a review of professional periodicals. Informatsionnyi byulleten’ RNTB 2: 20–25. (In Russ.).
19. Tsvetkov VL and Pavlova AA (2023) Clip thinking as an actual psychological problem. Vestnik Moskovskogo universiteta MVD Rossii 3: 317–322. (In Russ.).
20. Shorin ON (2023) Possible areas of the application of artificial intelligence in libraries and information centers. Nauchno-tekhnicheskaya informatsiya. Seriya 1, Organizatsiya i metodika informatsionnoi raboty 11: 15–19. (In Russ.).
21. Shraiberg YaL (2024) Neural networks and artificial intelligence in science, education and libraries: do we really need it? Bukva i tsifra: biblioteki na puti k tsifrovizatsii: sb. dokl. Pyatoi nauch.-prakt. konf. «BiblioPiter-2024». Moscow, pp. 222–232. (In Russ.).
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For citations:
Plakhutina E.N. Artificial Intelligence as a Factor in Attracting Users to the Library. Bibliosphere. 2025;(2):15-21. (In Russ.) https://doi.org/10.20913/1815-3186-2025-2-15-21
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