Interactive design and promotion of virtual experience of non-heritage culture
In the context of rapid technological development, the digital transformation of non-heritage culture is significant, which not only helps to protect and inherit, but also attracts more audiences through innovative ways. This study explores non-heritage cultures’ virtual experience interaction desig...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns-2024-0838 |
| _version_ | 1797229569330118656 |
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| author | Zhao Xi Duan Shenghua |
| author_facet | Zhao Xi Duan Shenghua |
| author_sort | Zhao Xi |
| collection | DOAJ |
| description | In the context of rapid technological development, the digital transformation of non-heritage culture is significant, which not only helps to protect and inherit, but also attracts more audiences through innovative ways. This study explores non-heritage cultures’ virtual experience interaction design and promotion methods. It investigates the optimization of digital revitalization and interaction design of non-heritage handicrafts with deep learning oversampling techniques to enhance user experience and promote cultural dissemination. After effective screening, 400 valid samples were obtained after collecting 450 questionnaires during the experiment. The interaction design of non-heritage virtual experiences optimized with deep learning technology can significantly improve users’ knowledge and interest in non-heritage culture. The correct rate of participants’ cognition of NRL cultural content increased to more than 95% on average after the experience, in which the proper rate of cognition of plant elements and arrangement forms was as high as 98.9%. The study found that the community interaction function plays a significant role in improving user satisfaction. Deep learning oversampling technology has a substantial effect on the virtual interaction design of non-heritage culture, which can effectively promote the living inheritance and promotion of non-heritage culture. |
| first_indexed | 2024-04-24T15:14:40Z |
| format | Article |
| id | doaj.art-35b607853bcc462198215e731bea062f |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-24T15:14:40Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-35b607853bcc462198215e731bea062f2024-04-02T09:28:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0838Interactive design and promotion of virtual experience of non-heritage cultureZhao Xi0Duan Shenghua11College of Art, Zhejiang Shuren University, Hangzhou, Zhejiang, 310000, China.1College of Art, Zhejiang Shuren University, Hangzhou, Zhejiang, 310000, China.In the context of rapid technological development, the digital transformation of non-heritage culture is significant, which not only helps to protect and inherit, but also attracts more audiences through innovative ways. This study explores non-heritage cultures’ virtual experience interaction design and promotion methods. It investigates the optimization of digital revitalization and interaction design of non-heritage handicrafts with deep learning oversampling techniques to enhance user experience and promote cultural dissemination. After effective screening, 400 valid samples were obtained after collecting 450 questionnaires during the experiment. The interaction design of non-heritage virtual experiences optimized with deep learning technology can significantly improve users’ knowledge and interest in non-heritage culture. The correct rate of participants’ cognition of NRL cultural content increased to more than 95% on average after the experience, in which the proper rate of cognition of plant elements and arrangement forms was as high as 98.9%. The study found that the community interaction function plays a significant role in improving user satisfaction. Deep learning oversampling technology has a substantial effect on the virtual interaction design of non-heritage culture, which can effectively promote the living inheritance and promotion of non-heritage culture.https://doi.org/10.2478/amns-2024-0838afro-culturedeep learning hypersamplinguser experiencecultural communication68m01 |
| spellingShingle | Zhao Xi Duan Shenghua Interactive design and promotion of virtual experience of non-heritage culture Applied Mathematics and Nonlinear Sciences afro-culture deep learning hypersampling user experience cultural communication 68m01 |
| title | Interactive design and promotion of virtual experience of non-heritage culture |
| title_full | Interactive design and promotion of virtual experience of non-heritage culture |
| title_fullStr | Interactive design and promotion of virtual experience of non-heritage culture |
| title_full_unstemmed | Interactive design and promotion of virtual experience of non-heritage culture |
| title_short | Interactive design and promotion of virtual experience of non-heritage culture |
| title_sort | interactive design and promotion of virtual experience of non heritage culture |
| topic | afro-culture deep learning hypersampling user experience cultural communication 68m01 |
| url | https://doi.org/10.2478/amns-2024-0838 |
| work_keys_str_mv | AT zhaoxi interactivedesignandpromotionofvirtualexperienceofnonheritageculture AT duanshenghua interactivedesignandpromotionofvirtualexperienceofnonheritageculture |