AI-Driven Design and Generative Architecture

Exploring Creative AI Thinking in the Design Process: The Design Intelligence Strategy

ANGELICA PAIVA PONZIO, SARA REGIANE CHORNOBAI, CRISTIAN VINICIUS MACHADO FAGUNDES, RICARDO CESAR RODRIGUES, GUSTAVO CUNHA HAFEZ JOSÉ

Published 2023

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📄 Paper
This article is part of an exploratory and experimental applied research that seeks to discuss different design strategies with significant potential to stimulate creativity and innovation in the architectural design process. Envisioning a future in which machines are not merely used as tools for creating data, but also to play a role that can enhance the design process itself, this research presents as its fundamental question the possibility of employing a combinatorial use of diffusion models, associated to parametric modeling as a means of predicting, developing, and ultimately optimizing environmentally conscious design proposals. Thus, our ultimate goal is to outline a novel methodology not only capable of stimulating creativity, but also enriching critical thinking and problem-solving skills for sustainable solutions in the early stages of the design process. The strategy here called Design Intelligence Strategy, uses referential design thinking concepts and processes to generate, analyze, compare and (re)systematize data. The object of study is a small house unit with limited constraints, to be implemented in a climatic location through formally adaptive characteristics. The results indicate that the AI generated images have potential to guide the process to climate effective solutions, besides also being able to be implemented in academic studios.

Abstract

This article is part of an exploratory and experimental applied research that seeks to discuss different design strategies with significant potential to stimulate creativity and innovation in the architectural design process. Envisioning a future in which machines are not merely used as tools for creating data, but also to play a role that can enhance the design process itself, this research presents as its fundamental question the possibility of employing a combinatorial use of diffusion models, associated to parametric modeling as a means of predicting, developing, and ultimately optimizing environmentally conscious design proposals. Thus, our ultimate goal is to outline a novel methodology not only capable of stimulating creativity, but also enriching critical thinking and problem-solving skills for sustainable solutions in the early stages of the design process. The strategy here called Design Intelligence Strategy, uses referential design thinking concepts and processes to generate, analyze, compare and (re)systematize data. The object of study is a small house unit with limited constraints, to be implemented in a climatic location through formally adaptive characteristics. The results indicate that the AI generated images have potential to guide the process to climate effective solutions, besides also being able to be implemented in academic studios.

Topics

Form FindingGANsGenerative Design and Design Space ExplorationParametric, Computational and Algorithmic DesignPerformance-Driven DesignSustainable Buildingscircular economydiffusion modelsimage-to-planmulti-objective optimizationsustainable construction

Cite this paper

@inproceedings{83c43b24,
author = {Ponzio, Angelica and Chornobai, Sara and Vinicius, Cristian and Rodrigues, Ricardo and Cunha, Gustavo},
year = {2023},
month = {03},
pages = {},
title = {Exploring Creative AI Thinking in the Design Process: The Design Intelligence Strategy},
doi = {10.52842/conf.caadria.2023.2.049},
booktitle = {},
}