@inbook{491e9f143b1d41f5bb6a3eae51a2499a,
title = "Bringing Characters to Vitality:Enhancing Credibility of Original Characters in Narrative Works by making the OC a Generative AI agent",
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{\textendash}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.",
keywords = "Believability, Conversational Agents, Generative AI, Multimodal Interaction, Original Character",
author = "Xiaozhan Liang and Ling Zou and Yong Hu and Siyu Luo",
note = "Publisher Copyright: {\textcopyright} 2026, Design Research Society. All rights reserved.",
year = "2026",
doi = "10.21606/drs.2026.688",
language = "英语",
series = "Proceedings of DRS",
publisher = "Design Research Society",
booktitle = "Proceedings of DRS",
address = "英国",
}