A Platform for Interactive AI Character Experiences

2025-07-26

International Conference on Computer Graphics and Interactive Techniques

AI Summary

Creating high-fidelity, narrative-driven interactive AI characters requires the integration of multimodal capabilities—including dialogue, memory, speech, animation, and environmental interaction—posing significant challenges in system coordination and personality consistency. This work proposes the first general-purpose, scalable integrated platform architecture that unifies large language models with prompt engineering and fine-tuning techniques to jointly manage dialogue generation, emotional expression, long-term memory, speech synthesis, and animation control. The authors implement this framework in a “Digital Einstein” prototype, enabling users to engage in immersive interactions centered on Einstein’s life, scientific contributions, and personality traits. Empirical evaluation demonstrates the approach’s effectiveness and generality in preserving character consistency and emotional richness across diverse conversational contexts.

Technology Category

• Humans and AI: Emotional Intelligence
• Natural Language Processing: Conversational AI/Dialog Systems
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

From movie characters to modern science fiction — bringing characters into interactive, story-driven conversations has captured imaginations across generations. Achieving this vision is highly challenging and requires much more than just language modeling. It involves numerous complex AI challenges, such as conversational AI, maintaining character integrity, managing personality and emotions, handling knowledge and memory, synthesizing voice, generating animations, enabling real-world interactions, and integration with physical environments. Recent advancements in the development of foundation models, prompt engineering, and fine-tuning for downstream tasks have enabled researchers to address these individual challenges. However, combining these technologies for interactive characters remains an open problem. We present a system and platform for conveniently designing believable digital characters, enabling a conversational and story-driven experience while providing solutions to all of the technical challenges. As a proof-of-concept, we introduce Digital Einstein, which allows users to engage in conversations with a digital representation of Albert Einstein about his life, research, and persona. While Digital Einstein exemplifies our methods for a specific character, our system is flexible and generalizes to any story-driven or conversational character. By unifying these diverse AI components into a single, easy-to-adapt platform, our work paves the way for immersive character experiences, turning the dream of lifelike, story-based interactions into a reality.

Problem

• interactive AI characters
• character integrity
• conversational AI
• story-driven interaction
• AI integration

Innovation

• Interactive AI Characters
• Character Consistency
• Multimodal AI Integration
• Story-driven Conversations
• Foundation Model Orchestration