| id |
ecaade2022_411 |
| authors |
Cesar Rodrigues, Ricardo, Rubio Koga, Renan, Hitomi Hirota, Ercilia and Bertola Duarte, Rovenir |
| year |
2022 |
| title |
Mapping Space Allocation with Artificial Intelligence - An approach towards mass customized housing units |
| doi |
https://doi.org/10.52842/conf.ecaade.2022.2.631
|
| source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 631–640 |
| summary |
Artificial Intelligence represents a substantial part of the available tools on architectural design, especially for Space Layout Planning (SLP). At the same time, the challenge of Mass Customization (MC) is to increase the product variety while maintaining a good cost-benefit ratio. Thus, this research aims to identify new, valid, and easily understandable data patterns through human-machine interaction in an attempt to deal with the challenges of MC during the early phases of SLP. The Design Science Research method was adopted to develop a digital artifact based on deep generative models and a reverse image search engine. The results indicate that the artifact can deliver a series of design alternatives and enhance the navigation process in the solution space, besides giving key insights on dataset design for further research. |
| keywords |
Floor plans, Generative Adversarial Networks, Mass Customization |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (922,430 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/04/22 07:10 |
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