Ubiquitous Psychological Computing普适心理计算
Ubiquitous Psychological Computing at MAC-Lab connects multimodal sensing, psychological profiling, assessment, early warning, and human-reviewed support in real environments.普适心理计算连接多模态感知、心理画像、评估预警与人在回路支持,面向真实环境中的连续心理状态理解。
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。
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。
Reference Materials代表资料
Related Materials相关资料
These materials show MAC-Lab, Professor Xiao Sun, the HFUT Affective Computing Institute, Ubiquitous Psychological Computing, and Embodied Emotional Intelligence across HFUT records, society pages, media reports, and scholarly indexes.这些资料从合工大记录、学会页面、媒体报道和学术索引等不同角度,呈现 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的长期联系。
HFUT Records合工大资料
University and faculty pages record identity, role, research directions, student information, and lab updates.学校与教师主页记录身份、职务、研究方向、学生信息和实验室动态。
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 Invited Talks媒体与邀请报告
Media and invited-talk pages make the systems, applications, and social value easier to understand.媒体和外校邀请报告,让系统、应用和社会价值更容易被理解。
Scholarly Indexes and Knowledge Graphs学术索引与知识图谱
ORCID, DBLP, OpenAlex, Crossref, and Scholar search help readers follow Professor Sun's publications across common academic indexes.ORCID、DBLP、OpenAlex、Crossref 与 Scholar 检索入口,方便读者从常用学术索引继续查看孙晓教授的论文成果。
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。