Livia：由模块化AI智能体与渐进式记忆压缩驱动的情绪感知增强现实伴侣
Livia: An Emotion-Aware AR Companion Powered by Modular AI Agents and Progressive Memory Compression
AI总结：
本文提出Livia，一款结合模块化AI智能体、多模态情感计算、渐进式记忆压缩和AR具身交互的情绪感知增强现实伴侣应用，通过TBC和DIMF算法优化记忆管理，显著降低存储需求并提升情感支持效果，用户评估显示其有效减轻孤独感并增强情感纽带。
摘要：
孤独感和社会隔离带来了显著的情感和健康挑战，促使人们开发基于技术的陪伴与情感支持解决方案。本文介绍了Livia，一款情绪感知的增强现实（AR）伴侣应用，旨在通过结合模块化人工智能（AI）智能体、多模态情感计算、渐进式记忆压缩以及AR驱动的具身交互，提供个性化的情感支持。Livia采用模块化AI架构，配备负责情感分析、对话生成、记忆管理和行为编排的专门智能体，确保稳健且自适应的交互。两种新颖算法——时间二进制压缩（TBC）和动态重要性记忆过滤（DIMF）——有效管理和优先处理长期记忆，在保留关键上下文的同时显著降低存储需求。我们的多模态情感检测方法实现了高准确率，增强了主动性和共情性参与。用户评估显示，情感纽带增强、满意度提高，孤独感在统计上显著降低。用户特别看重Livia的自适应个性演变和逼真的AR具身表现。未来研究方向包括扩展手势和触觉交互、支持多用户体验，以及探索定制化硬件实现。
英文摘要：
Loneliness and social isolation pose significant emotional and health challenges, prompting the development of technology-based solutions for companionship and emotional support. This paper introduces Livia, an emotion-aware augmented reality (AR) companion app designed to provide personalized emotional support by combining modular artificial intelligence (AI) agents, multimodal affective computing, progressive memory compression, and AR driven embodied interaction. Livia employs a modular AI architecture with specialized agents responsible for emotion analysis, dialogue generation, memory management, and behavioral orchestration, ensuring robust and adaptive interactions. Two novel algorithms-Temporal Binary Compression (TBC) and Dynamic Importance Memory Filter (DIMF)-effectively manage and prioritize long-term memory, significantly reducing storage requirements while retaining critical context. Our multimodal emotion detection approach achieves high accuracy, enhancing proactive and empathetic engagement. User evaluations demonstrated increased emotional bonds, improved satisfaction, and statistically significant reductions in loneliness. Users particularly valued Livia's adaptive personality evolution and realistic AR embodiment. Future research directions include expanding gesture and tactile interactions, supporting multi-user experiences, and exploring customized hardware implementations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
