| id |
acadia23_v2_560 |
| authors |
Saldana Ochoa, Karla; Huang, Lee-Su; Guo, Zifeng; Bokhari, Adil |
| year |
2023 |
| title |
Playing Dimensions: Images / Models / Maps: Conceptualizing Architecture with Big Data and Artificial Intelligence |
| source |
ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 560-568. |
| summary |
This article presents a novel architecture design workflow that explores the intersection of Big Data, Artificial Intelligence (AI), and storytelling by scraping, encoding, and mapping data, which can then be implemented through Virtual Reality (VR) and Augmented Reality (AR) technologies. In contrast to conventional approaches that consider AI solely as an optimization tool, this workflow embraces AI as an instrument for critical thinking and idea generation. Rather than creating new AI models, this workflow encourages architects to experiment with existing ones as part of their practice. The workflow revolves around the concept of ""Canonical architecture,"" where data-driven techniques serve to traverse dimensions and representations, encompassing text, images, and 3D objects. The data utilized consists of information specific to the project, gathered from social media posts, including both images and text, which provide insights into user needs and site charac- teristics. Additionally, roughly 9,000 3D models of architectural details extracted from 38 different architectural projects were used. The primary objective is to assist architects in developing a workflow that does not suggest starting from scratch or a tabula rasa, but to work with already hyper-connected objects, be it text, images, 3D models, et cetera. These conceptualizations can then be enacted in game engines and/or experimented with in AR/ VR platforms, while keeping their connections alive. Through this process, the framework aims to develop a sensibility of working with large amounts of data without losing focus, and letting the electric grounds of the internet help us in articulating projects. |
| series |
ACADIA |
| type |
paper |
| email |
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| full text |
 file.pdf (3,152,900 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/12/20 09:13 |
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