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<p>The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture mapping and small texture mapping techniques to optimize the texture display on the surface of the 3D model. The coordinate system transformation of computer graphics further enhances the fidelity of the virtual environment. In addition, this study analyzes the information diffusion pattern in the network and real space based on the information space model. The empirical analysis shows that the spread of new media art in the virtual communication space has been significantly enhanced, especially in expressing individual and collective emotions, contemporary media art has obvious advantages compared with traditional art. The information dissemination analysis confirms the accuracy of the information diffusion model in predicting the communication trend of contemporary media art, and the negative sentiment index of modern media art is lower than that of traditional art between 2016 and 2023, showing a more positive emotional communication pattern. This study shows that artificial intelligence technology can effectively promote the communication and dissemination of new media art. Through the construction of virtual space and the application of information diffusion model, contemporary media art is not only improved in communication efficiency and dynamics.</p>
</abstract>

The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture mapping and small texture mapping techniques to optimize the texture display on the surface of the 3D model. The coordinate system transformation of computer graphics further enhances the fidelity of the virtual environment. In addition, this study analyzes the information diffusion pattern in the network and real space based on the information space model. The empirical analysis shows that the spread of new media art in the virtual communication space has been significantly enhanced, especially in expressing individual and collective emotions, contemporary media art has obvious advantages compared with traditional art. The information dissemination analysis confirms the accuracy of the information diffusion model in predicting the communication trend of contemporary media art, and the negative sentiment index of modern media art is lower than that of traditional art between 2016 and 2023, showing a more positive emotional communication pattern. This study shows that artificial intelligence technology can effectively promote the communication and dissemination of new media art. Through the construction of virtual space and the application of information diffusion model, contemporary media art is not only improved in communication efficiency and dynamics.

Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture...

Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 14. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0354

Schlüsselwörter
Virtual space, Texture mapping, Coordinate system transformation, Information diffusion, New media art

© 2024 Huan Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 04. Jan. 2024

Akzeptiert: 14. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0354

SchlüsselwörterVirtual space, Texture mapping, Coordinate system transformation, Information diffusion, New media art

© 2024 Huan Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Virtual space, Texture mapping, Coordinate system transformation, Information diffusion, New media art