132 citations · 178 across the 13 of their papers we have counts for
14 papers
"When to Hand Off, When to Work Together": Understanding Concurrent Human-Agent Interaction in Shared Co-Creative Workspaces
Kihoon Son, Hyewon Lee, DaEun Choi +6
Shared co-creative workspaces allow users to contribute while agents execute. Yet how users adjust their participation as their work and the agent's execution shape one another rem…
DiscoverLLM: From Executing Intents to Discovering Them
Tae Soo Kim, Yoonjoo Lee, Jaesang Yu +2
To handle ambiguous and open-ended requests, Large Language Models (LLMs) are increasingly trained to interact with users to surface intents they have not yet expressed (e.g., ask…
Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System
Tiffany Wang, Yuqian Sun, Yi Wang +3
The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this paradigm through the…
Elsewise: Authoring Open-ended Interactive Narrative with Possibility Space Visualization
Yi Wang, John Joon Young Chung, Melissa Roemmele +6
Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player's input determining which narrative possibilities they…
Artographer: a Curatorial Interface for Art Space Exploration
Shm Garanganao Almeda, John Joon Young Chung, Sophia Liu +4
Relating a piece to previously established works is crucial in creating and engaging with art, but AI interfaces tend to obscure such relationships, rather than helping users explo…
LiteraryTaste: A Preference Dataset for Creative Writing Personalization
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele +7
People have different creative writing preferences, and large language models (LLMs) for these tasks can benefit from adapting to each user's preferences. However, these models are…
LLMs Behind the Scenes: Enabling Narrative Scene Illustration
Melissa Roemmele, John Joon Young Chung, Taewook Kim +3
Generative AI has established the opportunity to readily transform content from one medium to another. This capability is especially powerful for storytelling, where visual illustr…
Scaffolding Recursive Divergence and Convergence in Story Ideation
Taewook Kim, Matthew Kay, Yuqian Sun +3
Human creative ideation involves both exploration of diverse ideas (divergence) and selective synthesis of explored ideas into coherent combinations (convergence). While processes…
Modifying Large Language Model Post-Training for Diverse Creative Writing
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele +2
As creative writing tasks do not have singular correct answers, large language models (LLMs) trained to perform these tasks should be able to generate diverse valid outputs. Howeve…
Phraselette: A Poet's Procedural Palette
Alex Calderwood, John Joon Young Chung, Yuqian Sun +2
According to the recently introduced theory of artistic support tools, creativity support tools exert normative influences over artistic production, instantiating a normative groun…
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols
John Joon Young Chung, Melissa Roemmele, Max Kreminski
We introduce Toyteller, an AI-powered storytelling system where users generate a mix of story text and visuals by directly manipulating character symbols like they are toy-playing.…
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative
Yuqian Sun, Phoebe J. Wang, John Joon Young Chung +3
In this paper, we present Drama Llama, an LLM-powered storylets framework that supports the authoring of responsive, open-ended interactive stories. DL combines the structural bene…
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…