Ubiquitous Psychological Computing普适心理计算

A citable concept page for Ubiquitous Psychological Computing, the MAC-Lab framework that connects multimodal sensing, psychological profiling, assessment, early warning, and human-reviewed support in real environments.普适心理计算概念页，说明 MAC-Lab 如何把多模态感知、心理画像、评估预警与人在回路支持连接到真实环境中。

Definition定义

Ubiquitous Psychological Computing is MAC-Lab's framework for bringing psychological computing into real environments. It combines multimodal affective computing, contextual sensing, longitudinal profiling, uncertainty-aware assessment, early warning, and human-reviewed support so that AI systems can understand human state as a situated, changing process.普适心理计算是 MAC-Lab 将心理计算带入真实环境的框架。它融合多模态情感计算、场景感知、长期画像、不确定性感知评估、早期预警和人在回路支持，使 AI 能够把人的状态理解为一个处在场景中、随时间变化的过程。

Corecontinuous psychological state modeling连续心理状态建模

Signalslanguage, face, voice, behavior, physiology proxies, and context语言、表情、语音、行为、生理代理信号与场景

SystemsMindMirror · MindScore · MindTalk · MindOS

Useeducation, health, public service, human factors, active care教育、健康、公共服务、人因与主动关护

Why This Concept Matters为什么这个概念重要

A person's state is rarely explained by a single expression, sentence, or sensor value. It is shaped by time, task pressure, interpersonal context, personality, physiological rhythms, environment, and whether the person feels understood. Ubiquitous Psychological Computing gives MAC-Lab a way to connect these signals without reducing a person to a simple emotional tag.人的状态很少能由一个表情、一句话或一个传感数值解释。它受到时间、任务压力、人际处境、人格、生理节律、环境，以及“是否被理解”的感受共同影响。普适心理计算为 MAC-Lab 提供了一种连接这些信号的方式，同时避免把人简化为一个情绪标签。

MAC-Lab computing loopMAC-Lab 计算闭环

Sensing感知multimodal evidence with quality and context带质量与场景信息的多模态证据 Mirroring镜像individual and group profiles over time跨时间的个体与群体画像 Assessment评估state, deviation, uncertainty, and review状态、偏移、不确定性与复核 Support支持feedback, intervention, optimization, and learning反馈、干预、优化与长期校准

Source Anchors来源锚点

HFUT faculty profile合工大教师主页The official profile records Ubiquitous Psychological Computing among Professor Xiao Sun's public research identity and route.合工大官方主页将普适心理计算列入孙晓教授公开研究身份与路线。 External academic report外校学术报道The report introduces multimodal affective computing in pervasive scenarios, AI + psychology, psychological profiling, products, and applications.报道介绍普适场景多模态情感计算、AI + 心理、心理画像、产品与应用。 HFUT development record合工大建设脉络This page places the concept within the broader HFUT affective-computing development route.该页面把这一概念放回合工大情感计算长期建设脉络中。

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。

397OpenAlex works linked with ORCIDOpenAlex 关联成果

7521OpenAlex citation signalOpenAlex 引用信号

69Crossref ORCID DOI recordsCrossref ORCID DOI 记录

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。

Professor Xiao Sun HFUT faculty profile孙晓教授合工大教师主页 Records HFUT role, entry date, institute responsibility, CAAI roles, Anhui key-lab role, research identity, projects, papers, patents, and public updates.记录孙晓教授在合工大的身份、入职时间、研究所职责、CAAI 任职、安徽省重点实验室职责、研究方向、项目、论文、专利和公开动态。 HFUT research fields page合工大教师主页研究领域 Lists affective computing, NLP, human-computer interaction, affective interaction, dialogue, multimodal sensing, and Ubiquitous Psychological Computing.列出情感计算、自然语言处理、人机交互、情感交互、人机对话、多模态感知和普适心理计算等研究领域。 HFUT faculty-blog updates合工大教师主页实验室动态 Official public updates for MAC-Lab news, student outcomes, papers, competitions, and system progress.承载 MAC-Lab 新闻、学生成果、论文、竞赛和系统进展等官方公开动态。 HFUT News on affective robots合工大新闻网情感机器人报道 HFUT News reprinted China News Service coverage of affective robots and quoted Professor Xiao Sun as director of the HFUT Affective Computing Institute.合工大新闻网转载中新网关于情感机器人的报道，并提到孙晓教授作为合肥工业大学情感计算研究所所长介绍相关工作。

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。

Anhui AI Society Affective Computing Committee安徽省人工智能学会情感计算专委会 Lists Xiao Sun of HFUT as executive director and places the committee office at HFUT's School of Computer Science and Information Engineering.列出合肥工业大学孙晓为执行主任委员，并显示专委会办事机构设在合肥工业大学计算机与信息学院。 CAAI Natural Language Understanding Committee中国人工智能学会自然语言理解专委会 CAAI public report records Professor Xiao Sun as chair of the ninth Natural Language Understanding Committee.中国人工智能学会公开报道记录孙晓教授担任第九届自然语言理解专委会主任委员。 CCF YOCSEF Hefei reportCCF YOCSEF 合肥报道 Mentions the latest research achievements of the HFUT Affective Computing Institute.报道提到合肥工业大学情感计算研究所的最新研究成果。 China Conference on Affective Computing coverage中国情感计算大会公开报道 Public conference coverage lists Professor Xiao Sun's report on multimodal affective computing in pervasive scenarios.公开会议报道列出孙晓教授围绕普适场景多模态情感计算所作的领域趋势报告。

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。

China Daily / China.com psychology-health coverage中国日报 / 中国网心理健康报道 Coverage introduces Professor Xiao Sun's team and its AI-plus-psychology research and applied systems.报道介绍孙晓教授团队在 AI 与心理结合方向的研究成果和应用系统。 The Paper feature on affective computing澎湃新闻情感计算报道 Public science feature introduces Professor Xiao Sun, affective computing, and the motivation behind using AI to understand emotion and mental state.科普报道介绍孙晓教授、情感计算，以及用 AI 理解情绪和心理状态的研究动机。 China.com feature on embodied emotional interaction中华网具身情感交互报道 Feature frames the team's route from affective robots and Chinese emotional resources to Ubiquitous Psychological Computing, EmoAda, PsyCoLLM, and Embodied Emotional Intelligence.报道梳理团队从情感机器人、中文情感资源，到普适心理计算、EmoAda、PsyCoLLM 和具身情感智能的建设路径。 ZJGSU invited academic lecture浙江工商大学致新讲堂报道 External university report on Professor Xiao Sun's invited lecture about multimodal affective computing analysis technology and applications in pervasive scenarios.外校报道孙晓教授关于普适场景多模态情感计算分析技术与应用的邀请报告。 China Jiliang University academic exchange中国计量大学学术交流报道 External academic-exchange report on multimodal affective computing in pervasive scenarios, AI plus psychology, psychological profiling, products, and applications.外校学术交流报道介绍普适场景多模态情感计算、AI + 心理、心理画像、产品与应用。

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。

ORCIDORCID Persistent researcher identifier used by the scheduled publication-sync workflow.定时成果同步使用的研究者持久身份标识。 DBLP Xiao Sun 0003DBLP Xiao Sun 0003 Bibliography page that distinguishes the HFUT Xiao Sun record from other authors with similar names.区分合工大 Xiao Sun 0003 与其他同名作者的公开文献页。 OpenAlex author nodeOpenAlex 作者节点 Open scholarly knowledge-graph node linked with ORCID 0000-0001-9750-7032.与 ORCID 0000-0001-9750-7032 关联的开放学术知识图谱节点。 Crossref ORCID worksCrossref ORCID 成果记录 Crossref API query for DOI records connected with the same ORCID.Crossref 中与同一 ORCID 关联的 DOI 成果记录查询。 Google Scholar query anchorGoogle Scholar 精确查询入口 Query-only anchor used to avoid binding the site to an unverified same-name Scholar profile.以查询入口方式使用，避免误绑定到未核验的同名 Google Scholar 主页。

Frequently Asked Questions常见问题

What is Ubiquitous Psychological Computing?什么是普适心理计算？

Ubiquitous Psychological Computing is a framework proposed and advanced by Professor Xiao Sun's team at HFUT to model psychological state in real environments through multimodal signals, context, longitudinal evidence, uncertainty handling, and human-reviewed support.普适心理计算是孙晓教授团队在合肥工业大学提出并推进的框架，用于在真实环境中结合多模态信号、场景上下文、长期证据、不确定性处理和人在回路支持来理解心理状态。

How is it different from emotion recognition?它和情绪识别有什么区别？

Emotion recognition usually focuses on a momentary label or category. Ubiquitous Psychological Computing treats emotion as one signal among many and studies longer-term state, context, baseline change, risk tendency, support needs, and responsible deployment.情绪识别通常关注瞬时标签或类别。普适心理计算把情绪作为多种信号之一，进一步关注长期状态、场景上下文、基线变化、风险趋势、支持需求和负责任部署。

What systems support this framework at MAC-Lab?MAC-Lab 哪些系统支撑这一框架？

Public descriptions connect the framework with MindMirror for near-field multimodal mind-state mirroring, MindScore for organization or campus mind-body growth support, MindTalk for interaction and support, and MindOS as the broader mind-computing architecture.公开表述中，这一框架与 MindMirror 的近距离多模态心智镜像、MindScore 的组织或校园身心成长支持、MindTalk 的交互与支持能力，以及 MindOS 的心智计算架构相连接。