Proceedings of the 2024 International Conference on Urban Planning and Design (UPD 2024)

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Indoor Space Centralized Design and User Demand Analysis: the Perspective of AI Technology

Authors
Aiwei Liu1, 2, Zhuying Ran1, 2, *
1College of Finance and Management, Chongqing Business Vocation College, 401331, Chongqing, China
2College of Environmental Arts, Chongqing College of Architecture and Technology, 401331, Chongqing, China
*Corresponding author. Email: 51014364@qq.com
Corresponding Author
Zhuying Ran
Available Online 26 July 2024.
DOI
10.2991/978-94-6463-453-2_26How to use a DOI?
Keywords
Intelligent Design; Indoor Space; User Needs; Artificial Intelligence; Machine Learning
Abstract

With the rapid development of artificial intelligence technology, intelligent indoor space design has become a new hot spot in the design field. Based on the perspective of AI technology, this article explores how intelligent indoor space design can better meet user needs. Through the collection and analysis of user behavior data, machine learning algorithms are used to cluster user portraits and identify the space usage preferences and characteristics of different user groups. On this basis, a set of intelligent indoor space design framework is proposed, including demand mining, design generation, interaction optimization and other links. Finally, through case analysis, it is proved that this framework can significantly improve the user experience of space design. This research provides new ideas for intelligent interior design and is of great significance for promoting the intelligent process of architectural design.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Urban Planning and Design (UPD 2024)
Series
Advances in Engineering Research
Publication Date
26 July 2024
ISBN
10.2991/978-94-6463-453-2_26
ISSN
2352-5401
DOI
10.2991/978-94-6463-453-2_26How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aiwei Liu
AU  - Zhuying Ran
PY  - 2024
DA  - 2024/07/26
TI  - Indoor Space Centralized Design and User Demand Analysis: the Perspective of AI Technology
BT  - Proceedings of the 2024 International Conference on Urban Planning and Design (UPD 2024)
PB  - Atlantis Press
SP  - 337
EP  - 346
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-453-2_26
DO  - 10.2991/978-94-6463-453-2_26
ID  - Liu2024
ER  -