GRIM: GRaph-based Interactive narrative visualization for gaMes
Authors: name: Jorge Leandro, name: Sudha Rao, name: Michael Xu, name: Weijia Xu, name: Nebosja Jojic, name: Chris Brockett, name: Bill Dolan

Dialogue-based Role Playing Games (RPGs) require powerful storytelling. The
narratives of these may take years to write and typically involve a large
creative team. In this work, we demonstrate the potential of large generative
text models to assist this process. GRIM, a prototype
GRaph-based Interactive narrative visualization system for
gaMes, generates a rich narrative graph with branching storylines that
match a high-level narrative description and constraints provided by the
designer. Game designers can interactively edit the graph by automatically
generating new sub-graphs that fit the edits within the original narrative and
constraints. We illustrate the use of GRIM in conjunction with GPT-4,
generating branching narratives for four well-known stories with different
contextual constraints.