12 papers
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…
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…
"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction
Kihoon Son, Hyewon Lee, DaEun Choi +6
As agents move into shared workspaces and their execution becomes visible, human-agent collaboration faces a fundamental shift from sequential delegation to concurrent co-creation.…
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 AI-Based 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…
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…