132 citations · 278 across the 5 of their papers we have counts for
5 papers
Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization
John Joon Young Chung, Max Kreminski
Large language models (LLMs) can help writers build story worlds by generating world elements, such as factions, characters, and locations. However, making sense of many generated…
A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…
Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts
Taewook Kim, Hyomin Han, Eytan Adar +2
Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author…
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
John Joon Young Chung, Eytan Adar
While diffusion-based text-to-image (T2I) models provide a simple and powerful way to generate images, guiding this generation remains a challenge. For concepts that are difficult…
viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, Eytan Adar
Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are…