EmpaAva: An Open-source Agentic 3D-Avatar Empathetic Live Chatbot

📅 2026-08-05
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work extends empathetic dialogue from purely textual interactions to real-time, face-to-face conversations with 3D virtual agents by introducing the first open-source, end-to-end controllable multimodal empathy system. Built upon a Tri-Agent architecture orchestrated by a large language model, the system integrates multimodal emotion perception, affective response planning, lip-syncing, and 3D Gaussian rendering to achieve coherent empathetic expression across speech, facial expressions, and gestures. Experimental results demonstrate that the proposed system significantly outperforms text-only baselines, 2D avatars, and existing virtual human approaches in emotional understanding, response quality, and audiovisual consistency.
📝 Abstract
This paper presents EmpaAva, to our knowledge the first open-source, agentic 3D-avatar empathetic chatbot, which carries empathetic response generation (ERG) from text-only exchanges into live, face-to-face interaction. Through a video-call-like interface, a user speaks to a 3D digital human that reads their affect from speech and optional vision, and replies with emotional speech, lip-synced facial motion, and photorealistic 3D Gaussian rendering. At its core, an LLM coordinates a Tri-Agent Architecture, in which perception, empathetic response planning, and embodied rendering form a closed loop, paired with a Response Planning layer that compiles each reply into an executable multimodal plan, keeping voice, expression, and rendering on one empathetic intent. Building on strong open-source modules, EmpaAva supplies the intelligence that binds them into one controllable, inspectable experience. In automatic and human evaluations, EmpaAva surpasses text-only, 2D talking-face, and multimodal avatar baselines in emotion understanding, response quality, and audio-visual consistency. We open-source EmpaAva with an online live demo.
Problem

Research questions and friction points this paper is trying to address.

empathetic response generation
3D avatar
multimodal interaction
affective computing
live chatbot
Innovation

Methods, ideas, or system contributions that make the work stand out.

agentic 3D-avatar
empathetic response generation
Tri-Agent Architecture
multimodal planning
3D Gaussian rendering
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