Open Access
ITM Web Conf.
Volume 53, 2023
2nd International Conference on Data Science and Intelligent Applications (ICDSIA-2023)
Article Number 01004
Number of page(s) 10
Section Artificial Intelligence
Published online 01 June 2023
  1. C. Zhou, B. Sinha, and M. Liu, An AI chatbot for the museum based on user interaction over a knowledge base, ACM Int. Conf. Proceeding Ser., pp. 54–58 (2020). [Google Scholar]
  2. Z. Q. Yang, R. Xu, and J. M. Zhang, Digital Museum Visualization Digital System Based on Big Data Technology, Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 13312 LNCS, pp. 442–455 (2022). [Google Scholar]
  3. L. Fang, The Application of Digital Media Art in Art Museum Public Education Based on Human-Computer Interaction Technology, Proc., 2nd Int. Conf. Inf. Sci. Educ. ICISE-IE 2021, pp. 1424–1427 (2021). [CrossRef] [Google Scholar]
  4. S. Puspasari, Ermatita, and Zulkardi, Machine Learning for Exhibition Recommendation in a Museum’s Virtual Tour Application, Int. J. Adv. Comput. Sci. Appl., vol. 13, no. 4, pp. 404–412 (2022). [Google Scholar]
  5. A. R. Patel, K. K. Ramaiya, C. V. Bhatia, H. N. Shah, and S. N. Bhavsar, Artificial Intelligence: Prospect in Mechanical Engineering Field—A Review, Lect. Notes Data Eng. Commun. Technol., vol. 52, pp. 267–282 (2021). [CrossRef] [Google Scholar]
  6. J. Liu, C. Symons, and R. R. Vatsavai, Persona-Based Conversational AI: State of the Art and Challenges, IEEE Int. Conf. Data Min. Work. ICDMW, vol. 2022-November, pp. 993–1001 (2022). [Google Scholar]
  7. T. Bronzin, B. Prole, A. Stipic, and K. Pap, Artificial Intelligence (AI) Brings Enhanced Personalized User Experience, 44th Int. Conv. Information, Commun. Electron. Technol. MIPRO 2021 Proc., pp. 1070–1075 (2021). [CrossRef] [Google Scholar]
  8. Y. Wang and J. Yu, Application trend of interactive multimedia in art museums, Adv. Intell. Syst. Comput., vol. 1131 AISC, pp. 1159–1163 (2020). [Google Scholar]
  9. P. Singh, V. Singh, R. Yadav, S. C.-T. and Informatics, and undefined, 6G Networks for Artificial Intelligence-Enabled Smart Cities Applications: A Scoping Review, Elsevier (2023). [Google Scholar]
  10. L. Yan, J. I. Kamal, Y. Cao, X. Zhao, and Z. Zhou, Application of Digital Audio-Visual Technology in Museum Exhibitions of Ancient Paintings Taking the Nanjing Museum as an Example, Proc., Int. Conf. Image Process. Media Comput. ICIPMC 2022, pp. 120–123 (2022). [CrossRef] [Google Scholar]
  11. T. Kiriyama and M. Sato, Design of museum exhibits and analysis of visitor-exhibit interactions, J. Ambient Intell. Smart Environ., vol. 5, no. 2, pp. 147–159 (2013). [CrossRef] [Google Scholar]
  12. K. W. Miller, Facial Recognition Technology: Navigating the Ethical Challenges, Computer (Long. Beach. Calif)., vol. 56, no. 1, pp. 76–81 (2023). [Google Scholar]
  13. S. Koltsakidis et al., Towards an Interactive Virtual Museum Visit: The Implementation of 3D Scanning, Virtual Reality, and Multimedia Technologies in Art Exhibits Conservation and Virtual Demonstrations, Commun. Comput. Inf. Sci., vol. 1582 CCIS, pp. 220–226 (2022). [Google Scholar]
  14. L. Borodkin, Evolution of Virtual and Augmented Reality Technologies in Historical and Archaeological Research, Proc., Int. Work. High Technol. Hist. Dev. HISTHIGHTECH 2022, pp. 9–12 (2022). [CrossRef] [Google Scholar]
  15. F. Umam, F. Adiputra, A. Dafid, and S. Wahyuni, Autonomous Museum Tour Guide Robot With Object Detection Using Tensorflow Learning Machine, Proceeding IEEE 8th Inf. Technol. Int. Semin. ITIS 2022, pp. 274–281 (2022). [Google Scholar]
  16. C. B. Anderson, Preservation and archiving of digital media, Inf. Serv. Use, vol. 40, no. 3, pp. 201–208 (2020). [Google Scholar]
  17. M. C. L. Chang, Y. H. Huang, W. C. Lin, and S. W. Sun, Digital Fabrication: Machine Learning-based Immersive Experiencing for the Virtual Space in a Future Museum, Proc., 4th IEEE Int. Conf. Artif. Intell. Virtual Reality, AIVR 2021, pp. 102–105 (2021). [Google Scholar]
  18. S. Lee, J. Yun, S. Lee, Y. Song, and H. Song, Will AI Image Synthesis Technology Help Constructivist Education at The Online Art Museum, Conf. Hum. Factors Comput. Syst. Proc. (2022). [Google Scholar]
  19. L. Ceuca, A. Rednic, and E. S. Chifu, Safer museum guide interaction during a pandemic and further Using NLP in human interactive museum visits: Museum guide Chatbot, Proc., IEEE 17th Int. Conf. Intell. Comput. Commun. Process. ICCP 2021, pp. 313–318 (2021). [Google Scholar]
  20. S. Schaffer, A. Ruß, M. L. Sasse, L. Schubotz, and O. Gustke, Questions and Answers: Important Steps to Let AI Chatbots Answer Questions in the Museum, Lect. Notes Inst. Comput. Sci. Soc. Telecommun. Eng. LNICST, vol. 422 LNICST, pp. 346–358 (2022). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.