| id |
ecaade2024_363 |
| authors |
Doumpioti, Christina; Huang, Jeffrey |
| year |
2024 |
| title |
Collaborative Design with Generative AI and Collage: Enhancing creativity and participation in education |
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 445–454 |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.445
|
| summary |
This study explores the integration of visual generative artificial intelligence (VGI) tools in the early stages of urban design and communication within a UX design course. Students developed urban design concepts from initial ideas to visual prototypes, promoting creativity and collaboration. The research investigates the role of VGI in the ideation process and its potential as a participatory tool for urban regeneration. Collage, reappropriated as a collaborative technique, works alongside generative AI to aid in creating and refining ideas. Additionally, the study presents a method for creating before-and-after images, providing a dynamic way to visualise urban evolution. Through an analysis of student feedback and project outcomes, the study identifies both the benefits and limitations of using generative AI in design education, aiming to improve AI interfaces and their application in collaborative design contexts. The findings suggest that VGI can impact design thinking and practice, serving as both a creative tool and a means to facilitate inclusive and insightful decision-making processes. |
| keywords |
Visual Generative Artificial Intelligence (VGI), Collage, Blending, Midjourney, Text-to-image, Image-to-image, Creativity, Ideation, Prompt Engineering, Design |
| series |
eCAADe |
| email |
christina.doumpioti@epfl.ch |
| full text |
 file.pdf (927,598 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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