mlsanityData to 13 Oct 2026

A Platform for Interactive AI Character Experiences

arXiv 2601.01027 ↗First posted 3 Jan 2026cs.HC cs.AI cs.CLcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). Builds on 11 of its 69 references that are in the map. First posted on arXiv 3 Jan 2026.

Builds on

11 of 69 references.

References · 11

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,588
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,072
  3. 2022BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesiscited by 178
  4. 2023EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animationcited by 142
  5. 2023Emotional Speech-Driven Animation with Content-Emotion Disentanglementcited by 98
  6. 2024From Audio to Photoreal Embodiment: Synthesizing Humans in Conversationscited by 82
  7. 2023TaleCrafter: Interactive Story Visualization with Multiple Characterscited by 71
  8. 2021CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbotcited by 18
  9. 2024Implicit Personalization in Language Models: A Systematic Studycited by 18
  10. 2024ProbTalk3D: Non-Deterministic Emotion Controllable Speech-Driven 3D Facial Animation Synthesis Using VQ-VAEcited by 13
  11. 2024Digital Avatars: Framework Development and Their Evaluationcited by 1

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 2.

2 papers.