TY  - JOUR
T1  - MÜZELERDE TEKNOLOJİ VE YAPAY ZEKÂ KULLANIMI ÜZERİNE YAPILAN ÇALIŞMALARIN İNCELENMESİ
TT  - REVIEW OF STUDIES ON THE USE OF TECHNOLOGY AND ARTIFICIAL INTELLIGENCE IN MUSEUMS
AU  - Sunar, Halil
AU  - Ateş, Alper
PY  - 2025
DA  - June
Y2  - 2025
DO  - 10.18221/bujss.1666693
JF  - Beykent Üniversitesi Sosyal Bilimler Dergisi
JO  - BÜSBD
PB  - Beykent University
WT  - DergiPark
SN  - 1307-5063
SP  - 43
EP  - 62
VL  - 18
IS  - 1
LA  - tr
AB  - Dijitalleşme her alanda olduğu gibi müzelerde de bireylerin ihtiyaç ve beklentilerine yönelik olarak etkisini göstermektedir. Dijitalleşme ve özellikle yapay zeka, müzelerin işleyişi ve ziyaretçi deneyiminde köklü dönüşüme neden olmuştur. Dijitalleşme, müzelerin koleksiyonlarını sanal ortamda erişilebilir kılarak, fiziksel sınırlamaları aşmalarını sağlamıştır. Yapay zeka ise müze rehberlik sistemlerinden, eser analizlerine kadar geniş bir alanda kullanılmakta, ziyaretçilerin tercihlerine göre kişiselleştirilmiş deneyimler sunabilmekte ve restorasyon, yönetim, veri analizi, eserlerin korunması gibi birçok imkan sağlamasıyla etkileşimin artmasında önemli bir rol oynamaktadır. Tüm bu teknolojik gelişmeler müzeleri daha erişilebilir, etkileşimli ve sürdürülebilir hale getirerek kültürel mirası dijital platformlarda yeniden şekillenmesine katkı sağlamıştır. Bu bağlamda çalışmanın amacı, müzelerde teknoloji ve yapay zekâ kullanımı ile ilgili yapılan çalışmaların bibliyometrik yöntemler kullanılarak incelenmesidir. Veri tabanı olarak Web of Science (WoS) tercih edilmiştir. Araştırmanın amacı doğrultusunda arama terimi olarak “müze, teknoloji ve yapay zeka” kullanılmıştır. 04.02.2025 tarihinde belge türü ve zaman kısıtlaması olmadan yapılan tarama sonucunda 399 yayın çalışma kapsamında incelenmiştir. Bibliyometrik analizin yapılmasında ve grafiklerin oluşturulmasında WoS Analysis, VOSviewer ve R Stüdyo’dan yararlanılmıştır. Bu doğrultuda incelenen yayınlar içerisinde etkili olanların tespit edilmesi, en etkili yazarların, çalışma konularının belirlenmesi, yıllar içerisindeki ilgili literatürün gelişimi, ülkeler arası işbirliği ağı, kullanılan anahtar kelimeler ve çalışmaların tematik harita oluşturularak, değerlendirilmiştir. Çalışmada sonuç olarak yayınların yıllar içerisindeki çalışma konularının gelişimi ve değişimi incelenerek mevcut literatür ortaya konulmuştur. Müzelerde teknoloji kullanılarak oyunlaştırma, yapay zeka destekli müze uygulamalarına yönelik ziyaretçi deneyimlerinin ölçülmesi, dijital sergilere yönelik kullanıcı tutum ve algılarının ölçülmesi, yapay zeka destekli müze eğitimi vb. konularda çalışmaların olmadığı veya eksiklikler olduğu belirlenmiştir.
KW  - Müze
KW  - Teknoloji
KW  - Yapay Zekâ
KW  - Bibliyometrik Analiz
N2  - Digitalization, as in every field, has an impact on museums as well as on the needs and expectations of individuals. Digitalization and especially artificial intelligence (AI) have radically transformed the way museums function and visitor experiences. Digitalization has enabled museums to overcome physical limitations by making their collections accessible in the virtual environment, thereby making them accessible to a wider audience on a global scale. AI is used in a wide range of areas, from museum guidance systems to artifact analysis, and plays an important role in increasing interaction by providing personalized experiences according to visitors' preferences and providing many opportunities such as restoration, management, data analysis, and artifact protection. All these technological developments have contributed to reshaping cultural heritage on digital platforms by making museums more accessible, interactive, and sustainable. In this context, the aim of the study is to examine the studies on the use of technology and artificial intelligence in museums using bibliometric methods. The Web of Science was preferred as a database. For the purpose of the study, “museum, technology, and artificial intelligence” was used as a search term. The study examined 399 publications on 04.02.2025, scanning them without any restrictions on document type or time. WoS Analysis, VOSviewer and R Studio were used in bibliometric analysis and creation of graphics. In this direction, the effective ones among the examined publications were determined, the most effective authors and study subjects were determined, the development of the relevant literature over the years, the international cooperation network, the keywords used and the studies were evaluated by creating a thematic map. As a result, the current literature is presented by examining the studies and the development and change of the study topics over the years. It has been determined that there are no studies or deficiencies on topics such as gamification using technology in museums, measuring visitor experiences for artificial intelligence-supported museum applications, measuring user attitudes and perceptions towards digital exhibitions, artificial intelligence-supported museum education, etc.
CR  - Akova, S., Kantar, G. (2020). Alt ve orta gelir grubuna mensup bireylerin tüketim odaklı iletişim alışkanlıklarında snob etkisi. Turkish Studies, 15(3), 1587-1609. https://dx.doi.org/10.29228/TurkishStudies.43561
CR  - Anderson, E. F., McLoughlin, L., Liarokapis, F., Peters, C., Petridis, P., & De Freitas, S. (2010). Developing serious games for cultural heritage, s. a state-of-the-art review. Virtual Reality, 14, 255-275. https://doi.org/10.1007/s10055-010-0177-3
CR  - Artyukhov, A., Lapidus, A., Yeremenko, O., Artyukhova, N., & Churikanova, O. (2024). An R Studio Bibliometrix Analysis of Global Research Trends of Educational Crises in 2020s. SocioEconomic Challenges (SEC), 8(2). 88-108.
CR  - Ateş, A. & Gün, A. (2024). Bibliometric Analysis of Studies on Online Reviews in the Tourism Sector Between 2018 and 2023, Journal of Social, Humanities and Administrative Sciences, 10(3), s.326-335. https://doi.org/10.5281/zenodo.11391142
CR  - Ateş, A., Kurt, A. & Sunar, H. (2024a). Google Haritalar Üzerine Yapılan Çalışmaların Bibliyometrik Analizi, Selçuk Turizm ve Bilişim Araştırmaları Dergisi, 5, s.36-51
CR  - Ateş, A., Sunar, H. & Coşkuner, M. (2020). Sanal Gerçekliğin Müzelerde Kullanılmasına Yönelik Bir Araştırma, Global Transformation and Differentiation II, Digitalization and The Future of Digital Society (Ed. Kolukırık, S. & Pehlivanlı, R.) Kongre Kitabı, 12-14 Mart, Akdeniz Üniversitesi, Antalya. ss. 8-14.
CR  - Ateş, A., Sunar, H. & Kurt, A. (2024b). Bibliometric Analysis on Sustainable Tourism and The Environment in The Literature Related to Destination Management, Present Environment and Sustainable Development, Vol. 18 (2), 43-62.  https://doi.org/10.47743/pesd2024182003
CR  - Bittermann, A., McNamara, D., Simonsmeier, B. A., & Schneider, M. (2023). The Landscape of Research on Prior Knowledge and Learning, s. A Bibliometric Analysis. Educational Psychology Review, 35(2), 58. https://doi.org/10.1007/s10648-023-09775-9
CR  - Borowiec, M. L., Dikow, R. B., Frandsen, P. B., McKeeken, A., Valentini, G., & White, A. E. (2022). Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13(8), 1640-1660. https://doi.org/10.1111/2041-210X.13901
CR  - Büyükkıdık, S. (2022). A bibliometric analysis: A tutorial for the bibliometrix package in R using IRT literature. Journal of Measurement and Evaluation in Education and Psychology, 13(3), 164-193. https://doi.org/10.21031/epod.1069307
CR  - Caggianese, G., De Pietro, G., Esposito, M., Gallo, L., Minutolo, A., & Neroni, P. (2020). Discovering Leonardo With Artificial Intelligence and Holograms: A User Study. Pattern Recognition Letters, 131, 361-367. https://doi.org/10.1016/j.patrec.2020.01.006
CR  - Cronbach, L. J. ve Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. https://doi.org/1037/h0040957
CR  - Dal Falco, F., & Vassos, S. (2017). Museum Experience Design: A Modern Storytelling Methodology. The Design Journal, 20(sup1), S3975-S3983. https://doi.org/10.1080/14606925.2017.1352900
CR  - Daniela, L. (2020). Virtual Museums as Learning Agents. Sustainability, 12(7), 2698. https://doi.org/10.3390/su12072698
CR  - Derviş, H. (2019). Bibliometric analysis using bibliometrix an R package. Journal of scientometric research, 8(3), 156-160. https://doi.org/10.5530/jscires.8.3.32
CR  - Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to Conduct A Bibliometric Analysis, s. An Overview And Guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
CR  - Falk, J. H., & Dierking, L. D. (2016). The Museum Experience Revisited. Routledge.
CR  - Farooq, R. (2023). Knowledge management and performance, s. a bibliometric analysis based on Scopus and WOS data (1988–2021). Journal of Knowledge Management, 27(7), 1948-1991. https://doi.org/10.1108/JKM-06-2022-0443
CR  - Gazelci, S. C., & Aksoy, M. (2024). Türkiye’de oluşturulan teorik gastronomi rotalarının bibliyometrik analizi. Seyahat ve Otel İşletmeciliği Dergisi, 21(1), 149-167.
CR  - Gırbacia, F. (2024). An Analysis of Research Trends for Using Artificial Intelligence in Cultural Heritage. Electronics, 13(18), 3738. https://doi.org/10.3390/electronics13183738
CR  - Giannini, T., & Bowen, J. P. (2022). Museums and Digital Culture, s. From reality to digitality in the age of COVID-19. Heritage, 5(1), 192-214. https://doi.org/10.3390/heritage5010011
CR  - Guleria, D., & Kaur, G. (2021). Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019. Library Hi Tech, 39(4), 1001-1024. https://doi.org/10.1108/LHT-09-2020-0218
CR  - Gürbüz, S., & Şahin, F. (2014). Sosyal Bilimlerde Araştırma Yöntemleri. Ankara, s. Seçkin Yayıncılık.
CR  - Hellou, M., Lim, J., Gasteiger, N., Jang, M., & Ahn, H. S. (2022). Technical Methods For Social Robots in Museum Settings, s. An Overview of The Literature. International Journal of Social Robotics, 14(8), 1767-1786. https://doi.org/10.1007/s12369-022-00904-y
CR  - Hu, J., Wu, Z., & Jin, L. (2021). Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment. Complexity, 2021(1), 6689744.
CR  - Huang, Y., Xu, C., Zhang, X., & Li, L. (2022). Bibliometric analysis of landslide research based on the WOS database. Natural Hazards Research, 2(2), 49-61. https://doi.org/10.1016/j.nhres.2022.02.001
CR  - ICOM (2022). Museum Definition. International Council of Museums. https://icom.museum/en/resources/standards-guidelines/museum-definition/
CR  - İlhan, P. & Aslan, A. A. (2021). The Visionary Pros of Artificial Intelligence in Museum Education. Bilgi Yönetimi, 4(2), 149-162. https://doi.org/10.33721/by.908020
CR  - Karagöz, Ş., & Uzunbacak, H. H. (2023). Öz-şefkat konusunda yayınlanan makalelerin bibliyometrik analizi. Uluslararası Yönetim Akademisi Dergisi, 6(2), 410-420.
CR  - Kaya, E., & Küçükçene, M. (2023). Türkiye'de “Liderlik” Çalışmaları (1983-2021), s. Bibliyometrik Bir Analiz. Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 21(1), 75-94.
CR  - Kemeç, A., & Altınay, A. T. (2023). Sustainable energy research trend, s. A bibliometric analysis using VOSviewer, RStudio bibliometrix, and CiteSpace software tools. Sustainability, 15(4), 3618. https://doi.org/10.3390/su15043618
CR  - Kim, S. S., Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102795. https://doi.org/10.1016/j.ijhm.2020.102795
CR  - Korka, E., Emmanouloudis, D., Kravari, K., Kokkinos, N., & Dimitriadi, K. (2021). The Protection of Natural and Cultural Heritage Monuments, Museums and Archives From Risks, s. Bridging Artificial Intelligence, Risk Assessment and Stakeholders. In International Conference on Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage (pp. 17-28). Cham, s. Springer International Publishing.
CR  - Korkmaz, Ö. F., Soğukoğlu Korkmaz, S., Tunçez, H. A., Gültekin, N. (2024). Finansal Okuryazarlık, Finansal Tabana Yayılma ve Finansal Erişim Üzerine Literatür İncelemesi. Söke İşletme Fakültesi Dergisi, 1(1), 16-25.
CR  - Kuzior, A., & Sira, M. (2022). A bibliometric analysis of blockchain technology research using VOSviewer. Sustainability, 14(13), 8206. https://doi.org/10.3390/su14138206
CR  - Lei, M., & Yu, S. (2024). Artificial Intelligence System Based on Wireless Network and Optical Sensor Recognition Application in Museum Interactive VR Design. Mobile Networks and Applications, 1-13. https://doi.org/10.1007/s11036-024-02389-7
CR  - Li, J., Zheng, X., Watanabe, I., & Ochiai, Y. (2024). A Systematic Review of Digital Transformation Technologies in Museum Exhibition. Computers in Human Behavior, 108407. https://doi.org/10.1016/j.chb.2024.108407
CR  - Lu, Y.P. & Cha, J.Z. (2006). An Evolution Brain Model For Artificial Intelligence, Proceedings of 2006 International Conference on Artifical Intelligence, 291-295. https://doi.org/10.1201/9781315153179
CR  - Nandiyanto, A. B. D., & Al Husaeni, D. F. (2021). A bibliometric analysis of materials research in Indonesian journal using VOSviewer. Journal of Engineering Research. Special Issue. 1-16. https://doi.org/10.36909/jer.ASSEEE.16037
CR  - Navarrete, T. (2013). Museums. Handbook on The Digital Creative Economy, 330-343. https://doi.org/10.4337/9781781004876.00042
CR  - Navarrete, T. (2020). Digitization in Museums. in Teaching Cultural Economics (pp. 204-213). Edward Elgar Publishing. https://repub.eur.nl/pub/126926/Navarrete-Digitization-of-Museums-FINAL.pdf
CR  - Nocheseda, C. J. C., Santos, M. F. A., Espera Jr, A. H., & Advincula, R. C. (2023). 3D Digital Manufacturing Technologies, Materials, and Artificial Intelligence in Art. MRS Communications, 13(6), 1102-1118. https://doi.org/10.1557/s43579-023-00489-1
CR  - Oladinrin, O. T., Arif, M., Rana, M. Q., & Gyoh, L. (2023). Interrelations between construction ethics and innovation, s. A bibliometric analysis using VOSviewer. Construction Innovation, 23(3), 505-523. https://doi.org/10.1108/CI-07-2021-0130
CR  - Özsoy, S. A. (1998). Kısa Özet Yazımı ve Değerlendirilmesi. Ege Üniversitesi Hemşirelik Fakültesi Dergisi, 14(1), 115-118.
CR  - Paneva-Marinova, D. I., Stoikov, J. S., Pavlova, L. R., & Luchev, D. M. (2019). System Architecture and Intelligent Data Curation of Virtual Museum dor Ancient History. Информатика и автоматизация, 18(2), 444-470. https://doi.org/10.15622/sp.18.2.444-470
CR  - Papila, A., Kilimci, P. & Kahraman, Z. (2021). Müzecilik-Kütüphanecilik-Festivaller, İçinde, s. 1. Uluslararası Medya ve Kültürel Çalışmalar Konferansı “Dijital Dünyada İletişim, Sanat ve Kültür” Konferans Bildiri Kitapçığı, (106-118) Gaziantep.
CR  - Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 102888. https://doi.org/10.1016/j.annals.2020.102888
CR  - Passas, I. (2024). Bibliometric Analysis, s. The Main Steps. Encyclopedia, 4(2). 1014-1025. https://doi.org/10.3390/encyclopedia4020065
CR  - Pessin, V. Z., Yamane, L. H., & Siman, R. R. (2022). Smart bibliometrics, s. an integrated method of science mapping and bibliometric analysis. Scientometrics, 127(6), 3695-3718.
CR  - Pisoni, G., Díaz-Rodríguez, N., Gijlers, H., & Tonolli, L. (2021). Human-Centered Artificial İntelligence For Designing Accessible Cultural Heritage. Applied Sciences, 11(2), 870. https://doi.org/10.3390/app11020870
CR  - Recuero Virto, N., & López, M. F. B. (2019). Robots, Artificial Intelligence, and Service Automation to The Core, s. Remastering Experiences at Museums. İn, s. Robots, Artificial İntelligence, and Service Automation an Travel, Tourism And Hospitality (pp. 239-253). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-687-320191018
CR  - Rovetta, A., Rovida, E., & Zafferri, G. (2017). Heritage by Dynamic Museums Project with New Artificial Intelligence Suggestions. In New Activities For Cultural Heritage, s. Proceedings of the International Conference Heritagebot 2017 (pp. 239-246). Springer International Publishing. https://doi.org/10.1007/978-3-319-67026-3_26
CR  - Sadri, F. (2011). Ambient intelligence, s. A survey. ACM Computing Surveys (CSUR), 43(4), 1-66. https://doi.org/10.1145/1978802.1978815
CR  - Sandaruwani, R. C., & Gnanapala, A. C. (2021). Challenges and Issues Confronting Sri Lanka in Museum Tourism Development. Curator, s. The Museum Journal, 64(4), 751-778. https://doi.org/10.1111/cura.12445
CR  - Sarkar, A., Wang, H., Rahman, A., Waqar, H., M., & Lu, Q. (2022). A bibliometric analysis of sustainable agriculture, s. based on the Web of Science (WOS) platform. Environmental Science and Pollution Research, 29 (1), s. 38928-38949. https://doi.org/10.1007/s11356-022-19632-x
CR  - Shi, Z. & Shi, C. (2006). Progress of artificial intelligence, Proceedings of 2006 International Conference on Artificial Intelligence, 861-866. https://doi.org/10.1007/s11571-015-9351-3
CR  - Simone, C., Cerquetti, M., & La Sala, A. (2021). Museums in the Infosphere, s. Reshaping Value Creation. Museum Management and Curatorship, 36(4), 322-341. https://doi.org/10.1080/09647775.2021.1914140
CR  - Sneegas, G., Beckner, S., Brannstrom, C., Jepson, W., Lee, K., & Seghezzo, L. (2021). Using Q-methodology in Environmental Sustainability Research, s. A Bibliometric Analysis and Systematic Review. Ecological Economics, 180, 106864. https://doi.org/10.1016/j.ecolecon.2020.106864
CR  - Srinivasan, R., Boast, R., Furner, J., & Becvar, K. M. (2009). Digital Museums and Diverse Cultural Knowledges, s. Moving Past the Traditional Catalog. The Information Society, 25(4), 265-278. https://doi.org/10.1080/01972240903028714
CR  - Tabier, E. & Bakanay, Ç. D. (2023). Okul Öncesi Eğitimde Müze Eğitim Ortamları ve Yapay Zekâ Uygulamaları, Journal of Social, Humanities and Administrative Sciences, 9(65), s.3082-3088. http://dx.doi.org/10.29228/JOSHAS.70500
CR  - Torusdağ, G. B. (2024). Kırsal Turizm Literatüründe Gastronomi ve Yerel Gıda Çalışmalarına İlişkin Bibliyometrik Bir Analiz. Journal of Tourism & Gastronomy Studies, 12(3), 2233-2262.
CR  - Wang, B. (2021). Digital design of smart museum based on artificial intelligence. Mobile Information Systems, 2021(1), 4894131. https://doi.org/10.1155/2021/4894131
CR  - Wang, J., & Zhang, S. (2022). Cross‐Cultural Learning, s. A Visualized Bibliometric Analysis Based on Bibliometrix from 2002 to 2021. Mobile Information Systems, 2022(1), 7478223. https://doi.org/10.1155/2022/7478223
CR  - Wang, Q., & Su, M. (2020). Integrating Blockchain Technology into The Energy Sector—From Theory of Blockchain to Research and Application of Energy Blockchain. Computer Science Review, 37, 100275. https://doi.org/10.1016/j.cosrev.2020.100275
CR  - Wen, J., & Ma, B. (2024). Enhancing Museum Experience Through Deep Learning and Multimedia Technology. Heliyon. E32706. 1-18. https://www.cell.com/heliyon/pdf/S2405-8440(24)08737-1.pdf
CR  - Yang, K., & Wang, H. (2023). The Application of Interactive Humanoid Robots in the History Education of Museums Under Artificial Intelligence. International Journal of Humanoid Robotics, 20(06), 2250016. https://doi.org/10.1142/S0219843622500165
CR  - Yang, Z., Xu, R., & Zhang, J. (2022). Digital Museum Visualization Digital System Based on Big Data Technology. İn, s. International Conference on Human-Computer Interaction (pp. 442-455). Cham, s. Springer International Publishing. https://doi.org/10.1007/978-3-031-06047-2_33
CR  - Yaşa, H. ve Oğur, O. (2024). A Bibliometric Analysis on Poverty and Media Studies. Korkut Ata Türkiyat Araştırmaları Dergisi, 15, 1617-1639
CR  - Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., ... & Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13), 816. https://doi.org/10.21037/atm-20-4235
CR  - Zhao, P., & Morris, A. (2022). Representing Cross-Cultural Links of Artifacts in Museums with Augmented Reality. in, s. 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) (pp. 234-236). IEEE. https://doi.org/10.1109/AIVR56993.2022.00048
UR  - https://doi.org/10.18221/bujss.1666693
L1  - https://dergipark.org.tr/en/download/article-file/4730544
ER  -