Devesh Mani Tripathi,
Sayan Munshi,
Abstract
Artificial intelligence (AI) is being used extensively in museums, which are cultural and learning spaces, to improve accessibility, optimize environmental conditions, and improve visitor experiences. Traditional museum designs are evolving to accommodate the demands of contemporary visitors, as they frequently fall short in properly engaging various audiences. AI-powered tools like augmented reality, machine learning, and smart sensors allow museums to design customized, adaptable spaces. Based on real-time visitor data, these systems intelligently alter elements such as exhibit layouts, lighting, and temperature to enhance comfort and engagement. AI technologies also improve accessibility by providing customized experiences for guests with impairments, like real-time translation and voice-activated navigation. By lowering energy use, AI’s ability to improve environmental conditions also promotes sustainability. But the incorporation of AI presents privacy and ethical issues, especially with regard to data security and visitor consent. The Van Gogh Museum and the Cooper Hewitt Smithsonian Design Museum provide case studies that highlight the revolutionary effects of AI and show how this technology can enhance inclusivity, operational effectiveness, and visitor engagement. AI is expected to transform museum design as it develops further, guaranteeing that these establishments will continue to be accessible, relevant, and sustainable in the long run. This study investigates the revolutionary effects of artificial intelligence (AI) on museum interiors, looking at how AI technologies improve accessibility, visitor experiences, and environmental efficiency.
Keywords: Artificial intelligence (AI), museum design, environmental optimization, augmented reality (AR), machine learning
[This article belongs to Journal of Structural Engineering and Management ]
Devesh Mani Tripathi, Sayan Munshi. Human-Centered AI in Museums: Enhancing Accessibility and Visitor Engagement. Journal of Structural Engineering and Management. 2025; 12(01):27-33.
Devesh Mani Tripathi, Sayan Munshi. Human-Centered AI in Museums: Enhancing Accessibility and Visitor Engagement. Journal of Structural Engineering and Management. 2025; 12(01):27-33. Available from: https://journals.stmjournals.com/josem/article=2025/view=202681
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Journal of Structural Engineering and Management
| Volume | 12 |
| Issue | 01 |
| Received | 06/01/2025 |
| Accepted | 14/01/2025 |
| Published | 16/01/2025 |
| Publication Time | 10 Days |
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