LNELecture Notes in Education, Arts, Management and Social ScienceTBA2705-053XWHIOCE PUBLISHING PTE. LTD.10.18063/LNE.v3i11.1441ArticleNarrative Generation and Personalized Interaction Design of Non-player Character Driven by AIGChttps://artdesignp.com/journal/LNE/3/11/10.18063/LNE.v3i11.1441WuDisheng20253112025-12-01Non-player character (NPC) narratives can significantly enhance user experience through effective interaction with players. Powered by AIGC, the generation of NPC narratives has become more efficient and intelligent, enabling players to immerse themselves in the game more effectively and ensuring steady progress. This article first outlines the core requirements for NPC narrative generation, then explores the technical pathways of AIGC-driven NPC narrative creation through three stages: preparatory work, mid-process generation, and post-optimization. It further analyzes personalized interaction design for NPCs empowered by AIGC, focusing on linguistic, behavioral, and emotional interactions. Finally, the study concludes by summarizing the synergistic optimization of AIGC-driven NPC narratives and personalized interactions, aiming to provide valuable insights for related research.AIGC-driven, non-player characters, narrative generation, personalization, interaction design

[1] Zhou W, Chen Y, 2025, From Non-Player Characters to AI Agents: The 'Ultimate Life' Narrative in Virtual Reality Media. Friends of Editors, (06): 32-40. [2] Aliqin Mahmati, 2024, Research on the Innovative Application of AI in the Game Industry. Art and Technology, 37(10): 171-173. [3] Tan WJ, 2020, Design and Implementation of a Game Based on Entity Component System and Deep Reinforcement Learning, Shanghai Jiao Tong University. [4] Zhao XY, Liang C, Yuan B, et al., 2023, Strategic Considerations for Human-Computer Collaborative Development of Non-Player Characters in Wargaming Systems. Modern Electronic Technology, 46(16): 160-164. [5] Fang Y, 2021, Research on Design Methods for Immersive Experiences in Online Games Based on Identity Recognition, Jiangnan University. [6] Wang JS, Qiao JF, 2024, Application of Generative AI in Non-Player Character Dialogues. Computer Knowledge and Technology, 20(9): 22-26. [7] Qi XL, Lü Y, Han Y, et al., 2020, Intelligent Simulation Technology for Non-Player Characters Based on Agents and Its Application in Regulation Simulation Training. Modern Electric Power, 37(4): 399-407.