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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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.
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026
Original languageEnglish
Title of host publicationInteractive Storytelling
Subtitle of host publication18th International Conference on Interactive Digital Storytelling, ICIDS 2025, Saint Julian, Malta, December 1–5, 2025, Proceedings, Part II
EditorsMaría Cecilia Reyes, Frank Nack
Place of PublicationCham
PublisherSpringer 
Pages29-47
Number of pages19
ISBN (Electronic)978-3-032-12405-0
ISBN (Print)978-3-032-12404-3
DOIs
Publication statusPublished - 2026
Event18th International Conference on Interactive Digital Storytelling (ICIDS 2025): Kaleidoscopic Machines - Saint Julian, Malta
Duration: 1 Dec 20255 Dec 2025
https://icids2025.ardin.online/

Publication series

NameLecture Notes in Computer Science
Volume16375
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Interactive Digital Storytelling (ICIDS 2025)
Abbreviated titleICIDS2025
PlaceMalta
CitySaint Julian
Period1/12/255/12/25
Internet address

Bibliographical note

Information for this record is supplemented by the author(s) concerned.
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

  • interactive digital narrative
  • large language model
  • design material
  • remediation
  • cultural heritage

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