TY - GEN
T1 - AI-Assisted Design
T2 - 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024
AU - Agkathidis, Asterios
AU - Song, Yang
AU - Symeonidou, Ioanna
N1 - Publisher Copyright:
© 2024, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Artificial Intelligence (AI) tools are currently making a dynamic appearance in the architectural realm. Social media are being bombarded by word-to-image/image-to- image generated illustrations of fictive buildings generated by tools such as ʻMidjourneyʼ, ʻDALL-Eʼ, ʻStable Diffusionʼ and others. Architects appear to be fascinated by the rapidly generated and inspiring ʻdesignsʼ while others criticise them as superficial and formalistic. In continuation to previous research on Generative Design, (Agkathidis, 2015), this paper aims to investigate whether there is an appropriate way to integrate these new technologies as a generative tool in the educational architectural design process. To answer this question, we developed a design workflow consisting of four phases and tested it for two semesters in an architectural design studio in parallel to other studio units using conventional design methods but working on the same site. The studio outputs were evaluated by guest critics, moderators and external examiners. Furthermore, the design framework was evaluated by the students through an anonymous survey. Our findings highlight the advantages and challenges of the utilisation of AI image synthesis tools in the educational design process of an architectural design approach.
AB - Artificial Intelligence (AI) tools are currently making a dynamic appearance in the architectural realm. Social media are being bombarded by word-to-image/image-to- image generated illustrations of fictive buildings generated by tools such as ʻMidjourneyʼ, ʻDALL-Eʼ, ʻStable Diffusionʼ and others. Architects appear to be fascinated by the rapidly generated and inspiring ʻdesignsʼ while others criticise them as superficial and formalistic. In continuation to previous research on Generative Design, (Agkathidis, 2015), this paper aims to investigate whether there is an appropriate way to integrate these new technologies as a generative tool in the educational architectural design process. To answer this question, we developed a design workflow consisting of four phases and tested it for two semesters in an architectural design studio in parallel to other studio units using conventional design methods but working on the same site. The studio outputs were evaluated by guest critics, moderators and external examiners. Furthermore, the design framework was evaluated by the students through an anonymous survey. Our findings highlight the advantages and challenges of the utilisation of AI image synthesis tools in the educational design process of an architectural design approach.
KW - AI
KW - Design Education
KW - GAI
KW - Generative Design
UR - http://www.scopus.com/inward/record.url?scp=85202452144&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:85202452144
SN - 9789491207389
T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
SP - 619
EP - 628
BT - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2024
A2 - Kontovourkis, Odysseas
A2 - Phocas, Marios C.
A2 - Wurzer, Gabriel
PB - Education and research in Computer Aided Architectural Design in Europe
Y2 - 9 September 2024 through 13 September 2024
ER -