Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14051
Title: The Role of the Computational Designer From Computer-Aided Design to Machine Learning-Aided Design A study on generative models and design prompts
Authors: Yonder, V.M.
Dulgeroglu, O.
Dogan, F.
Cavka, H.B.
Keywords: Architectural Vocabulary
Artificial Intelligence-Aided Design
Text Mining
Issue Date: 2023
Publisher: Education and research in Computer Aided Architectural Design in Europe
Abstract: 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. © 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
Description: 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 -- 20 September 2023 through 22 September 2023 -- 300449
URI: https://doi.org/10.52842/conf.ecaade.2023.1.293
https://hdl.handle.net/11147/14051
ISBN: 9789491207341
ISSN: 2684-1843
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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