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Natural Language Processing for Immersive Game Interactions: Improving NLP Models for More Natural Conversations with AI-driven NPCs in AR/VR Games
Abstract
Yu Nong, Hai-Tao Zhang, and Jia-Qiang Sun
This research paper explores the application of advanced Natural Language Processing (NLP) techniques to enhance the realism and immersion of player-NPC interactions in Augmented Reality (AR) and Virtual Reality (VR) games. We propose novel approaches to improve existing NLP models, focusing on context-awareness, emotional intelligence, and real- time adaptation. Our findings suggest that these enhancements significantly improve the naturalness and depth of conversations with AI-driven NPCs, leading to more engaging and immersive gaming experiences in AR/VR environments.