| id |
ecaade2023_456 |
| authors |
Riether, Gernot and Narahara, Taro |
| year |
2023 |
| title |
AI Tools to Synthesize Characteristics of Public Spaces |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.2.831
|
| source |
Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 831–838 |
| summary |
This paper investigates how artificial intelligence (AI) tools can be used in the early design phase of public space to synthesize qualitative information such as cultural differences and individual perception into a common understanding of qualities of a public space. In that way AI tools can be used to synthesize emotional responses citizens may have to urban spaces as a form of feedback during the design process. To do that the investigation leverages AI tools' text-guided image-to-image translation techniques, their capacity to assess the association between images and texts and the premise for synthesizing a common understanding of characteristics and qualities of public spaces. |
| keywords |
Urban Public Space, AI tools, Stable Diffusion |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (4,305,826 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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