MAC-Lab · Multimedia Affective Computing · Hefei University of Technology MAC-Lab · 多模态情感计算 · 合肥工业大学
Affective AI for people in real environments 让 AI 更懂真实环境中的人 Professor Xiao Sun's Multimedia Affective Computing Lab · HFUT Affective Computing Institute 孙晓教授的多模态情感计算实验室 · 合肥工业大学情感计算研究所
MAC-Lab starts from multimedia affective computing and follows one long route through natural language processing, human-computer interaction, ubiquitous psychological computing, and embodied emotional intelligence. The lab cares about algorithms, and it also cares whether those algorithms can enter schools, healthcare, mobility, human-factors, and public-service scenarios with long-term value. MAC-Lab 从多模态情感计算出发，沿着自然语言处理、人机交互、普适心理计算和具身情感智能持续推进。我们关心算法本身，也关心算法进入学校、健康、交通、人因和公共服务场景之后，是否还能被长期使用、持续迭代并产生真实价值。
- 20+
- years on one research spine年连续研究主线
- 60+
- high-impact first/corresponding-author papers篇高水平论文沉淀核心算法
- 80+
- patents and software copyrights项专利与软著构建技术壁垒
- 200k+
- users reached by psychological computing systems真实用户验证系统价值
Find the right entrance从你关心的问题进入 MAC-Lab
Students, academic peers, and industry partners usually come with different questions. The lab keeps one research route, but offers different ways to read it. 学生、学术同行和产业伙伴来到这里，关心的问题并不一样。实验室保持一条长期主线，也为不同访问者准备了更直接的入口。
Competitions, papers, systems, and growth routes竞赛、论文、系统和成长路径
Undergraduates, master's students, academic PhD students, and engineering doctorate candidates can find training routes, research topics, and platform support.本科生、硕士生、学术博士和工程博士可以看到实验室如何支持竞赛、科研、系统研发和真实项目训练。
For Researchers学术入口Affective NLP, multimodal emotion, psychological computing情感 NLP、多模态情绪和心理计算
Explore the lab's research map, concept pages, selected papers, platforms, and long-term HFUT affective-computing route.进入研究地图、概念页、代表论文、平台能力和合工大情感计算长期建设脉络。
For Partners合作入口Scene definition, sensing, assessment, intervention, delivery场景定义、感知评估、干预优化和交付
See how affective computing, human factors, and mind-body intelligence become deployable software-hardware systems.了解情感计算、人因工程和身心智能如何进入可试点、可交付、可长期迭代的软硬件系统。
From language understanding to deployable psychological intelligence从语言理解走向可部署的心理智能
MAC-Lab keeps one long route: language, emotion, multimodal perception, psychological computing, and embodied interaction. The detailed HFUT development record is kept on a dedicated page; the homepage only shows the route visitors need to understand the lab quickly. MAC-Lab 保持一条长期路线：语言、情感、多模态感知、心理计算和具身交互。详细建设脉络放在独立页面，首页只保留让访问者快速理解实验室的骨架。
Natural language processing, dialogue, semantics, and affective language understanding.自然语言处理、对话、语义理解和情感语言理解。
Human-machine dialogue, affective semantics, emotional interaction, and Chinese affective resources.人机对话、情感语义、情感交互和中文情感资源。
Text, speech, face, behavior, physiology, environment, and interaction traces.文本、语音、面部、行为、生理、环境和交互轨迹。
Mind-body profiling, assessment, early awareness, support, and long-term systems.身心画像、评估、早期感知、支持和长期运行系统。
Digital humans, robots, companion agents, smart cockpits, and active health.数字人、机器人、陪伴智能体、智能座舱和主动健康。
Two core frameworks两条核心框架
Framework details查看框架详情Modeling mental states in real life, not only in questionnaires or short conversations.在真实生活中建模心理状态，而不只停留在问卷或短对话里。
Ubiquitous Psychological Computing links time, environment, personality, physiology, behavior, social relationship, and task pressure, connecting perception, profiling, assessment, early warning, and support.普适心理计算连接时间、环境、个体差异、生理行为信号、社会关系和任务压力，把感知、画像、评估、预警与支持放入同一条技术路线。
Giving embodied agents an affective layer for situated interaction.为具身智能体增加面向情境交互的情感层。
The framework studies emotional perception, understanding, expression, and interaction for robots, digital humans, smart cockpits, eldercare companions, and active-health systems.该框架面向机器人、数字人、智能座舱、养老陪伴和主动健康系统，研究情感感知、理解、表达与交互的一体化能力。
Evidence that can be checked from different angles从不同角度都能看到的积累
Publications, projects, patents, systems, standards, awards, media coverage, and student outcomes form the lab's evidence base. None of them alone tells the full story. Together they show a research group that can keep moving from theory to system and from system to scenario. 论文、项目、专利、系统、标准、奖项、媒体报道和学生成果共同构成实验室的积累。任何单项都不能说明全部，但放在一起，可以看到一个团队如何从理论走向系统，再从系统进入场景。
IEEE and ACM Transactions, ACL, EMNLP, CVPR, ACM Multimedia, ICASSP, AAAIIEEE 与 ACM 汇刊，ACL、EMNLP、CVPR、ACM MM、ICASSP、AAAI 等代表性发表平台
The publication route connects affective NLP, dialogue emotion recognition, multimodal affective perception, mental-state modeling, social computing, and human-centered AI.发表领域覆盖情感自然语言处理、对话情绪识别、多模态情感感知、心理状态建模、社会计算和以人为中心的人工智能。
MindMirror · MindScore · MindTalk · MindOS · MindPet · MemOS-Mind
The Mind-series platforms carry near-distance, mid-distance, and remote mental-state sensing, psychological profiling, affective dialogue, cognitive support, and scene-oriented deployment.Mind 系列平台承载近距离、中距离和远距离心智感知，心理画像、情感对话、认知支持和面向场景的系统交付。
MAC-Lab keeps academic exchange and collaboration with leading universities, including the National University of Defense Technology, University of Science and Technology of China, University of Electronic Science and Technology of China, Tsinghua University, Harbin Institute of Technology, East China Normal University, and Beijing Normal University.实验室与国防科技大学、中国科学技术大学、电子科技大学、清华大学、哈尔滨工业大学、华东师范大学、北京师范大学等高校保持合作交流，并开展研究生联合培养与跨场景研究协作。
Affective and human-factors problems need a complete route情感与人因问题需要完整路线
Industry partners often begin with one request: recognize emotion, measure stress, detect fatigue, assess mental state, or improve human performance. The real work is to define the scene, select reliable signals, interpret the state, design the support method, and deliver a system that can keep working after the demo. 产业伙伴常从一个具体需求开始：识别情绪、测量压力、检测疲劳、评估心理状态，或者提升身心效能。真正有用的工作还要继续向前：定义场景，选择可靠信号，解释状态含义，设计支持方法，并交付一个离开演示环境之后还能持续工作的系统。
Explore solutions查看行业方案Perceive感知
speech, text, expression, behavior, physiology, interaction traces, and environment语音、文本、表情、行为、生理、交互轨迹与环境信息
Interpret解释
stress, fatigue, attention, motivation, cognitive load, risk, and role-fit state压力、疲劳、注意、动机、认知负荷、风险和岗位适配状态
Improve优化
assessment devices, dashboards, intervention cabins, digital humans, smart devices, and platform services评测设备、管理看板、干预座舱、数字人、智能终端和平台服务
A platform where students can build real momentum让学生真正跑起来的平台
People and training团队与学生Use competitions as a first training ground用竞赛训练完整能力
Innovation, AI, robotics, IoT, digital media, and multimodal affective-computing challenges help students learn how to define problems and deliver visible work.创新创业、人工智能、机器人、物联网、数字媒体和多模态情感计算挑战，让学生在真实题目中训练选题、表达、系统实现和团队协作。
Let good prototypes keep growing让好的原型继续生长
Promising work is encouraged to grow into papers, patents, datasets, software copyrights, demos, and longer research questions.有价值的想法会继续打磨成论文、专利、数据集、软著、演示系统和更长期的科研问题。
Work on platforms that already have field context依托已有平台继续做深
Students can enter Mind-series platforms, psychological assessment devices, digital humans, embodied agents, and AI-assisted mind-body health systems.学生可以进入 Mind 系列平台、心理测评一体机、数字人、具身智能体和 AI 身心健康系统，在已有基础上继续深化。
Recent signals近期信号
Lab news, frontier papers, calls, and public communication are kept active so visitors can see how the research route is moving. 实验室新闻、前沿论文、征稿机会和公共表达会持续更新，让访客看到这条研究路线正在怎样向前推进。
Lab updates实验室动态
All news全部新闻Calls征稿与机会
View calls查看机会Field notes深度札记
Read notes进入札记Academic excellence, public value学术影响与社会价值
The lab publishes in international AI, affective computing, speech, vision, multimedia, and HCI venues. At the same time, it has moved systems into digital health, smart mental-care services, healthy living, smart mobility, education, and human-factors scenarios. This combination matters: strong theory makes systems deeper, and real deployment keeps research honest. 团队论文发表于人工智能、情感计算、语音、视觉、多媒体和人机交互等国际重要发表平台；系统成果进入数字健康、智能心理服务、健康人居、智慧交通、教育和人因工程场景。理论让系统更深，真实场景让研究更稳，这是 MAC-Lab 一直坚持的路线。
- First Prize, Anhui Provincial Science and Technology Award安徽省科学技术奖一等奖
- First Prize, Ministry of Education Science and Technology Progress Award教育部高等学校科学研究优秀成果奖科学技术进步一等奖
- Wu Wenjun AI Science and Technology Progress Award吴文俊人工智能科学技术进步奖三等奖
- First Place, National General AI Innovation Application Competition全国通用人工智能创新应用大赛第一名
- Selected as a national digital-health exemplary case国家卫健委数字健康典型优秀案例
Media and public communication媒体关注与公共表达
More coverage更多报道The emotional robot “Sisi” featured in regional news国内首台情感机器人“思思”亮相
The report highlighted the team's work on affective robots, Chinese emotional resources, and multimodal affective computing.报道呈现团队在情感机器人、中文情感资源和多模态情感计算方向上的长期探索。
Read story查看报道Innovating AI to safeguard mental health创新人工智能，守护心理健康
A public feature on MAC-Lab's psychological computing systems, mental-health platforms, and social application.系统报道 MAC-Lab 在 AI 心理健康、智能心理监护系统和产业转化中的探索。
Read story查看报道A public account for sharing affective AI with more people实验室公众号“让AI更懂人”发布
The account records research progress, student training, platform development, and real-world applications in affective AI and psychological computing.公众号将围绕情感计算、心理计算、具身情感智能、学生培养、平台建设和真实场景 AI 应用持续更新。
Read update查看动态
Training AI researchers with technical depth and human warmth培养有技术深度，也理解人的 AI 研究者
MAC-Lab welcomes students who want to grow through competitions, publish serious research, build deployable systems, and communicate science responsibly. The lab encourages cross-disciplinary work across AI, psychology, medicine, education, human factors, and product-oriented engineering. MAC-Lab 欢迎愿意通过竞赛训练能力、通过科研沉淀成果、通过系统建设理解真实问题的学生。实验室鼓励跨学科、重实践、敢表达，把人工智能、心理学、医学、教育、人因工程和产品化工程连接起来。