Issue |
SHS Web of Conf.
Volume 183, 2024
3rd International Conference on Public Art and Human Development (ICPAHD 2023)
|
|
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Article Number | 01010 | |
Number of page(s) | 8 | |
Section | Public Art Design and Architectural Aesthetics | |
DOI | https://doi.org/10.1051/shsconf/202418301010 | |
Published online | 04 March 2024 |
Reviving Ecological Environments: Strategies for AI and VR Applications in Immersive Cultural Exhibitions
Hubei Institute of Fine Arts, Jiangxia District, Wuhan City, Hubei Province, China
a Corresponding author: 2227108348@qq.com
b* Corresponding author: mylittlerrr@163.com
This research delves into the novel integration of artificial intelligence (AI)--powered virtual reality (VR) ecological simulations within immersive cultural exhibitions. It emphasizes these simulations' role in augmenting sensory engagement and eliciting more robust emotional responses from audiences. AI-driven ecological simulations can be effectively applied in immersive exhibition design to transform and enhance audience interactions and experiences on an emotional and sensory level. The study employs a multifaceted research methodology, encompassing a comprehensive literature review to establish a theoretical foundation, in-depth case study analyses for practical insights, and empirical data collection from online public sources to gauge current trends and audience reception. We found that underscores the profound potential of AI-driven VR ecological simulations. Enhance sensory and emotional engagement significantly, providing evidence of their efficacy in creating more compelling and memorable exhibition experiences. These insights lay the groundwork for future AI and VR technology applications in cultural exhibitions, highlighting the imperative for innovative and interactive approaches that seek to engage audiences in more meaningful and immersive ways.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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