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Meet Daiyu in The Era of GenAI: Using LLMs to Remediate Classics into Interactive Digital Narratives

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
Yuxuan Huang
Kexin Xiang
Gauransh Sharma
Reshad Rabbi
Ran Ju
Jussi Pekka Holopainen
Published in
Interactive Storytelling
Publisher
Springer Nature Switzerland

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Abstract

In this paper, we explore the integration of large language models (LLMs) in interactive digital narratives (IDNs) in the context of remediating the classic Chinese novel, Hong Lou Meng (HLM). Adopting Research through Design (RtD), we developed an LLM-driven IDN prototype that allows players to interact with Lin Daiyu, the iconic female character of HLM. We then playtested the prototype with seven HLM readers and five IDN designers through semi-structured interviews. Our findings reveal the potential and challenges of using LLMs as character and plot design materials for IDNs that remediate classic literature. We conclude by proposing two design strategies for LLM-driven IDNs that ensure both player engagement and narrative coherence: 1) Designing towards engaging AI and humans in the same task, and 2) Expanding AI responses beyond predictable boundaries.

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previous chapter A Shared Field of Perception: Voice Over and Focalisation in Extended Reality (XR)
next chapter Mixed Initiative Comic Making in the Wild: Taking an Artist’s Approach Out of the Studio
Title
Meet Daiyu in The Era of GenAI: Using LLMs to Remediate Classics into Interactive Digital Narratives
Authors
Yuxuan Huang
Kexin Xiang
Gauransh Sharma
Reshad Rabbi
Ran Ju
Jussi Pekka Holopainen
Copyright Year
2026
Book
Interactive Storytelling

Print ISBN: 978-3-032-12404-3

Electronic ISBN: 978-3-032-12405-0

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-3-032-12405-0_3
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