Abstract
Abstract
With the rise of Generative Adversarial Networks (GANs), AI has increasingly become a partner to human designers in
co-creating cultural artifacts. While generative models have been applied in various creative tasks across disciplines, a
theoretical foundation for understanding human-GAN collaboration is yet to be developed. Drawing from the mixed-initiative
co-creation community, we propose a preliminary framework to analyze co-creative GAN applications. We identify four
primary interaction patterns: Curating, Exploring, Evolving, and Conditioning. The suggested framework enables us to discuss
the affordances and limitations of the different kind of interactions underlying co-creative GAN applications
With the rise of Generative Adversarial Networks (GANs), AI has increasingly become a partner to human designers in
co-creating cultural artifacts. While generative models have been applied in various creative tasks across disciplines, a
theoretical foundation for understanding human-GAN collaboration is yet to be developed. Drawing from the mixed-initiative
co-creation community, we propose a preliminary framework to analyze co-creative GAN applications. We identify four
primary interaction patterns: Curating, Exploring, Evolving, and Conditioning. The suggested framework enables us to discuss
the affordances and limitations of the different kind of interactions underlying co-creative GAN applications
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceeding of the 3rd Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN ‘22)at ACM IUI Workshops |
| Publikationsdato | 2022 |
| Status | Udgivet - 2022 |