Embodied Emotional Intelligence具身情感智能
A citable concept page for Embodied Emotional Intelligence, MAC-Lab's route from affective perception and emotional interaction models to robots, digital humans, smart cockpits, companion agents, and active mind-body health systems.具身情感智能概念页,说明 MAC-Lab 如何从情感感知与情感交互模型延伸到机器人、数字人、智能座舱、陪伴智能体和主动身心健康系统。
Definition定义
Embodied Emotional Intelligence is the MAC-Lab route for making affective AI usable inside bodies, devices, spaces, and long-term interaction. It links multimodal affect perception with emotional expression, response generation, cognitive regulation, memory, personality, and scenario constraints.具身情感智能是 MAC-Lab 将情感智能放入身体、设备、空间和长期交互中的路线。它把多模态情感感知与情感表达、回应生成、认知调节、记忆、人格和场景约束连接起来。
From Perception to Situated Interaction从感知走向场景交互
Emotion-aware systems are useful only when they can act appropriately in context. A robot, a digital human, or a smart cockpit cannot stop at recognizing a facial expression. It must understand task pressure, relationship, user history, communication style, safety boundary, and the cost of a wrong response. This is why MAC-Lab places embodied emotional intelligence after years of work on multimodal affective computing and psychological computing.能理解情感的系统,只有在具体场景中能做出合适反应,才真正有价值。机器人、数字人或智能座舱不能停留在识别一个表情,还要理解任务压力、关系、用户历史、沟通方式、安全边界和错误回应的代价。因此,MAC-Lab 把具身情感智能放在多年多模态情感计算和心理计算积累之后推进。
face, voice, language, posture, behavior, physiology proxies, scene context表情、语音、语言、姿态、行为、生理代理信号和场景上下文
emotion, personality, intention, cognitive load, stress, and support need情绪、人格、意图、认知负荷、压力和支持需求
voice, language, motion, avatar expression, interaction timing语音、语言、动作、数字人表情和交互节奏
feedback, encouragement, cognitive reframing, companionship, escalation反馈、鼓励、认知重构、陪伴和必要时转介复核
personal context, relationship history, preference, state trajectory个人处境、关系历史、偏好和状态轨迹
privacy, consent, audit, human review, safety constraints隐私、授权、审计、人在回路和安全约束
Source Anchors来源锚点
External Citation Network外部引用网络
The following public links connect MAC-Lab, Professor Xiao Sun, the HFUT Affective Computing Institute, Ubiquitous Psychological Computing, and Embodied Emotional Intelligence across official records, societies, media reports, and scholarly indexes.以下公开链接把 MAC-Lab、孙晓教授、合肥工业大学情感计算研究所、普适心理计算和具身情感智能放入学校记录、学会页面、媒体报道和学术索引共同构成的引用网络中。
Official HFUT Records合工大公开记录
Official university pages are the first layer for identity, role, research directions, student and lab updates.学校与教师主页是身份、职务、研究方向、学生信息和实验室动态的第一层公开记录。
Societies and Academic Community学会与学术共同体
Society and conference records connect the lab's work with national and provincial academic communities.学会与会议记录把实验室工作放入全国与省域学术共同体中。
Media and External Reports媒体与外部报道
Media and invited-talk pages provide readable third-party context for systems, applications, and social value.媒体和外校邀请报告页面,为系统、应用和社会价值提供更易读的第三方语境。
Scholarly Indexes and Knowledge Graphs学术索引与知识图谱
ORCID, DBLP, OpenAlex, Crossref, and Scholar-query anchors help reduce same-name ambiguity and make publication records easier to verify.ORCID、DBLP、OpenAlex、Crossref 与 Scholar 查询入口,有助于降低同名歧义并提升成果记录的可核验性。
Frequently Asked Questions常见问题
What is Embodied Emotional Intelligence?什么是具身情感智能?
Embodied Emotional Intelligence is MAC-Lab's framework for enabling agents, robots, digital humans, smart cockpits, and companion systems to perceive, understand, express, and regulate affect in situated interaction.具身情感智能是 MAC-Lab 面向智能体、机器人、数字人、智能座舱和陪伴系统提出的路线,强调在具体场景交互中感知、理解、表达和调节情感。
How does it relate to affective computing?它和情感计算是什么关系?
Affective computing provides the perception and modeling base. Embodied Emotional Intelligence extends that base into situated action, expression, companionship, decision support, and long-term interaction.情感计算提供感知和建模基础;具身情感智能把这一基础延伸到场景行动、情感表达、陪伴、决策支持和长期交互。
What are representative application directions?代表性应用方向有哪些?
Representative directions include emotional robots, digital humans, smart cockpits, companion agents, active health systems, educational interaction, and human-factors scenarios where affect, cognition, and behavior have to be understood together.代表方向包括情感机器人、数字人、智能座舱、陪伴智能体、主动健康系统、教育交互,以及需要同时理解情感、认知和行为的人因场景。