Interactive Fiction Generation
Interactive Fiction Generation is a computational method that synthesizes narrative text in response to user input, distinguished from other generative writing approaches by its emphasis on dynamic, branching storylines and player agency within an interactive storytelling environment.
17
Publications
483
Citations
51
Authors
23
Institutions
Publications per year
2017–2026
9
Parents
17
Procedural Content Generation via Machine Learning (PCGML)
Adam Summerville, Sam Snodgrass, Matthew Guzdial et al. · IEEE Transactions on Games · 2018 · 104 citations · Full text
Generating narrative variation in interactive fiction
Mitchell P. Marcus, Gerald Prince, Nick Montfort · 2007 · 53 citations
Arts, Linguistics, Literary Arts +17
1–5 of 17
51
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1
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1
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Korea Advanced Institute of Science and Technology, South Korea
1 publications · 21 citations
1
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1
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1–5 of 51
23
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
4 publications
146 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
259 citations
Wuhan University of Technology
Wuhan, China
1 h-index
1 publications
21 citations
Reichman University
Herzliya, Israel
1 h-index
4 publications
40 citations
Royal College of Art
London, United Kingdom
1 h-index
3 publications
63 citations
Princeton University
Princeton, United States
1 h-index
1 publications
29 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
159 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
2 publications
20 citations
1–8 of 23
Repository · 2 publications · 39 citations
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JGVW · 1 publications · 24 citations
1
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Conference · 1 publications · 21 citations
1
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1 publications · 31 citations
1
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1 publications · 12 citations
1
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