<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The swift advancement of science and technology has emerged as a pivotal catalyst for artistic innovation, with immersive art displays becoming increasingly prevalent as a favored mode of creative expression. This paper conducts a thorough analysis of the flow dynamics within immersive art display spaces, utilizing the eight-channel cardio fluid flow model as a foundation. By integrating the immersive communication effect model, this study further investigates the communicative aspects of these spaces. The implementation of human-computer interaction technologies not only enhances visual presentation but also facilitates the design of immersive art spaces through advanced scene modeling techniques. This design process includes optimizing the viewer’s perspective by incorporating visual perception parameters and the grid saliency MS algorithm. Additionally, this research undertakes a quantitative evaluation of interactive applications at the nexus of art, science, and technology, focusing on audience demand, interactive experiences, and recognition. The findings reveal a significant increase in audience demand for digital media interaction, from 12.64% to 31.29%, and an impressive average tolerance score of 84.32 for immersive art spaces. Comments related to these spaces uniformly express positive recognition, underscoring the successful integration of science and technology in art displays. This integration, as demonstrated, fosters a diverse evolution of artistic expression forms.</p>
</abstract>

The swift advancement of science and technology has emerged as a pivotal catalyst for artistic innovation, with immersive art displays becoming increasingly prevalent as a favored mode of creative expression. This paper conducts a thorough analysis of the flow dynamics within immersive art display spaces, utilizing the eight-channel cardio fluid flow model as a foundation. By integrating the immersive communication effect model, this study further investigates the communicative aspects of these spaces. The implementation of human-computer interaction technologies not only enhances visual presentation but also facilitates the design of immersive art spaces through advanced scene modeling techniques. This design process includes optimizing the viewer’s perspective by incorporating visual perception parameters and the grid saliency MS algorithm. Additionally, this research undertakes a quantitative evaluation of interactive applications at the nexus of art, science, and technology, focusing on audience demand, interactive experiences, and recognition. The findings reveal a significant increase in audience demand for digital media interaction, from 12.64% to 31.29%, and an impressive average tolerance score of 84.32 for immersive art spaces. Comments related to these spaces uniformly express positive recognition, underscoring the successful integration of science and technology in art displays. This integration, as demonstrated, fosters a diverse evolution of artistic expression forms.

The Intersection of Art and Technology: Innovative Thinking and Practice in the Perspective of New Media

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The swift advancement of science and technology has emerged as a pivotal catalyst for artistic innovation, with immersive art displays becoming increasingly...

The Intersection of Art and Technology: Innovative Thinking and Practice in the Perspective of New Media

Published Online: Jun 03, 2024

Page range: -

Received: Mar 02, 2024

Accepted: May 05, 2024

DOI: https://doi.org/10.2478/amns-2024-1367

Keywords
Heart flow model, Human-computer interaction, Scene modeling technology, Visual perception, Grid salience, Art

© 2024 Xiangyi Mao, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The Intersection of Art and Technology: Innovative Thinking and Practice in the Perspective of New Media

Published Online: Jun 03, 2024

Page range: -

Received: Mar 02, 2024

Accepted: May 05, 2024

DOI: https://doi.org/10.2478/amns-2024-1367

KeywordsHeart flow model, Human-computer interaction, Scene modeling technology, Visual perception, Grid salience, Art

© 2024 Xiangyi Mao, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Heart flow model, Human-computer interaction, Scene modeling technology, Visual perception, Grid salience, Art