Aseel Hussien

College of Engineering
Country flagUnited Arab Emirates

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Articles (7)

The study aims to understand to what extent employing A.I. image-generative tools in architectural concept brainstorming demonstrates effectiveness, accuracy, and adherence to text and image inputs, and evaluate the utilization of A.I. image-generative tools in the architectural ideation phase, considering factors such as speed, creativity, and accuracy. Thus, this study will investigate using an A.I. image-generative tool, Midjourney, in the creative brainstorming stage for a Safavid mosque architectural form design process. The study will quantitatively evaluate the form proportions of mosques generated by Midjourney based on certain criteria as they pertain to the Shah Mosque as the inspiration for the design as it encompasses many of the Safavid Mosque’s typical elements and characteristics. The most matching form will then be found. The findings are that Midjourney is reliable in terms of its speed and creativity; however, it lacks accuracy and adherence to inputs. This study is essential as limited literature exists on A.I. image-generative tools in the brainstorming process of architectural projects, particularly mosque architecture. It also provides architects and designers with a framework and the pros and cons of the use of A.I. generative tools, such as Midjourney, in the ideation process for an architectural project.

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2024

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2023

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2020

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2020

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2020

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2020

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2020

Collaborators (1)

Thar Baker

University of Brighton

UNITED KINGDOM
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