title: GRIM: GRaph-based Interactive narrative visualization for gaMes
summary: 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.
paper_authors._id: 65558fb548093c3f6e472dbd
paper_authors.name: Jorge Leandro
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-16T09:36:01.105Z
paper_authors._id: 6102e33b278d170df3fca6eb
paper_authors.avatarUrl: /avatars/62bf47e16e3331fad8b2e912271fc92f.svg
paper_authors.fullname: Jorge Leandro
paper_authors.type: user
paper_authors.user: jleandro
paper_authors._id: 65558fb548093c3f6e472dbe
paper_authors.name: Sudha Rao
paper_authors.status: extracted_pending
paper_authors.statusLastChangedAt: 2024-10-21T19:30:42.765Z
paper_authors._id: 66df471163ca446f2f806461
paper_authors.avatarUrl: /avatars/a4ef45bfc3a1f8e1ee33ff566aeff6f4.svg
paper_authors.fullname: Sudha Rao
paper_authors.type: user
paper_authors.user: raosudha89
paper_authors._id: 65558fb548093c3f6e472dbf
paper_authors.name: Michael Xu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-16T09:37:14.257Z
paper_authors._id: 6351fabdbeef5fb9913aa29f
paper_authors.avatarUrl: /avatars/7a5dd72dffcf30c807d60204b3bbaf54.svg
paper_authors.fullname: Michael Xu
paper_authors.type: user
paper_authors.user: michaelxu-msft
paper_authors._id: 65558fb548093c3f6e472dc0
paper_authors.name: Weijia Xu
paper_authors._id: 65558fb548093c3f6e472dc1
paper_authors.name: Nebosja Jojic
paper_authors._id: 65558fb548093c3f6e472dc2
paper_authors.name: Chris Brockett
paper_authors._id: 65558fb548093c3f6e472dc3
paper_authors.name: Bill Dolan
paper_title: GRIM: GRaph-based Interactive narrative visualization for gaMes
paper_summary: 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.
paper_ai_keywords: GRIM parameter GRaph-based Interactive narrative visualization sub-graphs GPT-4 branching narratives