| id |
ecaade2023_224 |
| authors |
Yonder, Veli Mustafa, Dulgeroglu, Ozum, Dogan, Fehmi and Cavka, Hasan Burak |
| year |
2023 |
| title |
The Role of the Computational Designer From Computer-Aided Design to Machine Learning-Aided Design: A study on generative models and design prompts |
| 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. 293–300 |
| doi |
https://doi.org/10.52842/conf.ecaade.2023.1.293
|
| summary |
The rising sophistication of digital design technologies and instruments requires computational designers to acquire a broader set of abilities, such as expertise in a variety of digital models, scripting languages, and the ability to manage complicated data models. In the field of design, the concepts of machine learning-aided design and data-driven techniques contribute to the production of various and numerous design possibilities. Ultimately, this will lead the computational designer to redefine his or her power over the design protocol. In this paper, ChatGPT-3.5, Dall-E v2, and Stable Diffusion, cutting-edge artificial intelligence models, are used to construct sample design scenarios. Using a text mining application, the scenario-specific prompts were examined to explore these models' computational design potential. |
| keywords |
Artificial Intelligence-Aided Design, Text Mining, Architectural Vocabulary |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (1,741,766 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/12/10 10:49 |
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