@inproceedings{df035825c9964520a642ddaeb24a3a1d,
title = "Think AI-side the Box!: Exploring the Usability of Text-to-Image Generators for Architecture Students",
abstract = "This study examines how architecture students use generative AI image generating models for architectural design. A workshop was conducted with 25 participants to create designs using three state-of-the-art generative diffusion models and BIM or 3D modeling software. Results showed that the participants found the image-generating models useful for the preliminary design stages but had difficulty when the design advanced because the models did not perform as they expected. Finally, the study shows areas for improvement that merit further research. The paper provides empirical evidence on how generative diffusion models are used in an architectural context and contributes to the field of digital design.",
keywords = "Computational Creativity, Design Process, Diffusion Models, Machine Learning",
author = "Jonathan Dortheimer and Gerhard Schubert and Agata Dalach and Lielle Brenner and Nikolas Martelaro",
note = "Publisher Copyright: {\textcopyright} 2023, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 41st Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2023 ; Conference date: 20-09-2023 Through 22-09-2023",
year = "2023",
language = "English",
isbn = "9789491207358",
series = "Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe",
publisher = "Education and research in Computer Aided Architectural Design in Europe",
pages = "567--576",
editor = "Wolfgang Dokonal and Urs Hirschberg and Gabriel Wurzer and Gabriel Wurzer",
booktitle = "eCAADe 2023 - Digital Design Reconsidered",
}