Towards Interactive Intelligence for Digital Humans
Authors
Yiyi Cai
Xuangeng Chu
Xiwei Gao
Sitong Gong
Yifei Huang
Caixin Kang
Kunhang Li
Haiyang Liu
Ruicong Liu
Yun Liu
Dianwen Ng
Zixiong Su
Erwin Wu
Yuhan Wu
Dingkun Yan
Tianyu Yan
Chang Zeng
Bo Zheng
You Zhou
Abstract
We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolution. To realize this, we present Mio (Multimodal Interactive Omni-Avatar), an end-to-end framework composed of five specialized modules: Thinker, Talker, Face Animator, Body Animator, and Renderer. This unified architecture integrates cognitive reasoning with real-time multimodal embodiment to enable fluid, consistent interaction. Furthermore, we establish a new benchmark to rigorously evaluate the capabilities of interactive intelligence. Extensive experiments demonstrate that our framework achieves superior performance compared to state-of-the-art methods across all evaluated dimensions. Together, these contributions move digital humans beyond superficial imitation toward intelligent interaction.
