EconPapers    
Economics at your fingertips  
 

Aids and Reflections on Artificial Intelligence for Public Space Design

Peng Xiao ()
Additional contact information
Peng Xiao: Nanning University

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1314-1319 from Springer

Abstract: Abstract This paper aims to investigate the intricate relationship between intelligence and public art by exploring the evolution of public art within the context of emerging technologies and the multifaceted discussions they generate. Specifically, it delves into the transformative potential of superimposed public spaces and the creation of art within these new spatial dimensions. Additionally, the study examines the integration of digital public art within the realm of art and artificial intelligence, highlighting its capacity to enhance efficiency and fulfill functional requirements. Furthermore, the paper contemplates the future of public spaces, envisioning a smarter and more delightful urban environment where digital public art assumes a central role. It considers how the fusion of art, technology, and artificial intelligence can contribute to the realization of this vision. Ultimately, the study aims to shed light on the pivotal role of public art in the future development of smart cities. Through a comprehensive analysis, this research will provide insights into the dynamic interplay between intelligence, technology, and public art, ultimately offering perspectives on harnessing the potential of digital public art to create more vibrant and intelligent urban spaces.

Keywords: Public Art; Urban Public Space; Intelligent; Digital (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_133

Ordering information: This item can be ordered from
http://www.springer.com/9789464632569

DOI: 10.2991/978-94-6463-256-9_133

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-27
Handle: RePEc:spr:advbcp:978-94-6463-256-9_133