What is it about?
Visual communication in collaborative design provides common ground and improves group performance, but it is often underused due to a lack of visualization time and skills. Existing visual collaboration tools use image databases to support inspiration and communication, but therefore lack personalization and fine-grained control over the visual material. In our research, we explore how AI image generation can be used in a multi-user and process-oriented way to enhance inspiration and communication in collaborative design work.
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Photo by Ales Nesetril on Unsplash
Why is it important?
Current applications for generative AI are focused on single users and are result-oriented, meaning that they focus on generating the perfect final image. In our research, we explore how this technology can support collaboration between humans in collaborative design work. That means, using generative AI in a multi-user and process-oriented manner. We found significant challanges and opportunities for generative AI in this context, which can help and inspire the industry to explore different applications for this new technology.
Perspectives
I hope people see that generative AI has much more potential than simple being a "nice image generator". It can be an extention of our creativity and support us in exploring our ideas without the need for advanced visualization skills. As with many other innovations, its success depends not on the technology itself, but on the way we implement it.
Mathias Verheijden
Technische Universiteit Eindhoven
Read the Original
This page is a summary of: Collaborative Diffusion: Boosting Designerly Co-Creation with Generative AI, April 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3544549.3585680.
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