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Bringing Characters to Vitality:Enhancing Credibility of Original Characters in Narrative Works by making the OC a Generative AI agent

  • Xiaozhan Liang
  • , Ling Zou*
  • , Yong Hu
  • , Siyu Luo
  • *Corresponding author for this work
  • Beihang University
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This study examines how generative AI can transform original characters (OCs) into interactive agents that improve character believability in design contexts. We propose a human–AI co-creation workflow that integrates dialogue, image, and context modalities, stabilizing style and behavior through structured prompts and expert feedback. In a mixed-method evaluation with expert creators (n = 5) and audience participants (n = 20), the approach increased perceived realism and emotional authenticity, while psychological complexity changed little, indicating the need for longer-horizon design. Dialogue contributed most to credibility, with context reinforcing coherence and images showing limited gains. We distill design principles for cross-modal alignment, style stability, and progressive complexity, offering a practical path to scalable, collaborative character design and more engaging interactive experiences.

Original languageEnglish
Title of host publicationProceedings of DRS
PublisherDesign Research Society
DOIs
StatePublished - 2026

Publication series

NameProceedings of DRS
Volume2026
ISSN (Electronic)2398-3132

Keywords

  • Believability
  • Conversational Agents
  • Generative AI
  • Multimodal Interaction
  • Original Character

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