Frontiers前沿雷达
A living radar for affective computing, AI for psychology, embodied emotional intelligence, and industry applications.自动聚合情感计算、人工智能+心理、具身情感智能与产业应用动态的前沿雷达。
How This Radar Updates本页如何自动更新
This page is refreshed by a scheduled GitHub Actions workflow. It fetches open arXiv metadata, scans selected RSS and Atom feeds from research labs, journals, AI media, and industry channels, enriches selected directions with recent Last30Days community and open-source signals when usable signals are available, then merges curated lab applications, media reports, and standards updates into static content.本页由 GitHub Actions 定时更新：自动抓取开放 arXiv 论文元数据；扫描研究机构、期刊、AI 媒体与产业渠道的 RSS / Atom 订阅源；当 Last30Days 在近 30 天内发现可用社区与开源信号时同步并入；再合并实验室精选应用、媒体报道与标准成果，最终生成静态页面。
The radar is a discovery layer, not a clinical recommendation system. Items should be read as pointers to primary sources.本页是前沿发现层，不是临床或心理咨询建议系统。所有条目都应回到原始来源进一步阅读。
A radar for turning external signals into lab capability.不是论文列表，而是面向能力建设的研究雷达。
Each item is interpreted through MAC-Lab's long-term route: multimedia affective computing, ubiquitous psychological computing, embodied emotional intelligence, and AI for mind-body health.每条内容都放回 MAC-Lab 的长期路线中理解：多模态情感计算、普适心理计算、具身情感智能，以及 AI 身心健康平台。
Capture new papers and selected application news around AI + psychology.捕捉 AI + 心理、情感计算与具身智能的新论文和应用动态。
Map signals to affective LLMs, multimodal sensing, assessment, support, and embodied interaction.映射到情感大模型、多模态感知、心理评估、身心支持和具身交互能力。
Keep the radar connected with platforms, student projects, standards, and deployment scenarios.把前沿判断连接到平台建设、学生项目、标准工作和真实场景落地。
Fresh signals from the latest scheduled run.让最近一次定时采集先被看见。
This strip intentionally shows only the newest four signals. The full archive below contains 120 items, with search, filters, and pagination.这里有意只展示最新 4 条信号；下方完整归档共 120 条，支持搜索、筛选和分页。
View the full archive查看全部 120 条Search and page through every radar item.所有前沿条目都在这里分页浏览。
Chinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence - PandailyChinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence - Pandaily
Chinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence PandailyChinese Embodied AI Company Tops RoboArena Benchmark, Beating NVIDIA and Physical Intelligence Pandaily
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Emotion AI Market Expands Rapidly with Smart Analytics Demand - vocal.mediaEmotion AI Market Expands Rapidly with Smart Analytics Demand - vocal.media
Emotion AI Market Expands Rapidly with Smart Analytics Demand vocal.mediaEmotion AI Market Expands Rapidly with Smart Analytics Demand vocal.media
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Seeds | 1 Billion Yuan in 10 Months, XYZ Embodied AI Completes Pre-A Financing - GasgooSeeds | 1 Billion Yuan in 10 Months, XYZ Embodied AI Completes Pre-A Financing - Gasgoo
Seeds | 1 Billion Yuan in 10 Months, XYZ Embodied AI Completes Pre-A Financing GasgooSeeds | 1 Billion Yuan in 10 Months, XYZ Embodied AI Completes Pre-A Financing Gasgoo
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
LU enriches anthropology course with study of forensic, AI, therapy - The Times of IndiaLU enriches anthropology course with study of forensic, AI, therapy - The Times of India
LU enriches anthropology course with study of forensic, AI, therapy The Times of IndiaLU enriches anthropology course with study of forensic, AI, therapy The Times of India
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
June marks the global observance of Men’s Mental Health Month to address emotional well-being and break down barriers to supportJune marks the global observance of Men’s Mental Health Month to address emotional well-being and break down barriers to support
June marks the global observance of Men’s Mental Health Month to address emotional well-being and break down barriers to support. — Mental Health · Public Awareness · Global Health Initiative: Annual awareness campaign focused on male mental health challenges. 🔹 🔹 🔹 June serves as the annual period dedicated to raising awareness regarding the mental health... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from Reddit public activity in the latest 30-day window.June marks the global observance of Men’s Mental Health Month to address emotional well-being and break down barriers to support. — Mental Health · Public Awareness · Global Health Initiative: Annual awareness campaign focused on male mental health challenges. 🔹 🔹 🔹 June serves as the annual period dedicated to raising awareness regarding the mental health... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from Reddit public activity in the latest 30-day window.
Relevant to emotional support agents: it connects affective NLP, dialogue safety, counseling interaction, and long-term companionship.对应情感支持智能体：连接情感 NLP、对话安全、咨询交互和长期陪伴能力。
Introducing new capabilities to GPT-RosalindIntroducing new capabilities to GPT-Rosalind
GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
How Wasmer used Codex to build a Node.js runtime for the edgeHow Wasmer used Codex to build a Node.js runtime for the edge
See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months.See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
A blueprint for democratic governance of frontier AIA blueprint for democratic governance of frontier AI
OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security.OpenAI outlines a blueprint for U.S. governance of frontier AI, proposing a federal framework for safety, resilience, and national security.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
Gemma 4 12B: A unified, encoder-free multimodal modelGemma 4 12B: A unified, encoder-free multimodal model
Gemma 4 12B: A unified, encoder-free multimodal model Last30Days signal for multimodal affective computing speech emotion, surfaced from Hacker News public activity in the latest 30-day window.Gemma 4 12B: A unified, encoder-free multimodal model Last30Days signal for multimodal affective computing speech emotion, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Elaboration Is the New Sycophancy - Compelling storytellers and world-builders, AI chatbots may amplify delusions. (Article by Marlynn Wei M.D., J.D. - Reviewed by Margaret Foley - Psychology Today)Elaboration Is the New Sycophancy - Compelling storytellers and world-builders, AI chatbots may amplify delusions. (Article by Marlynn Wei M.D., J.D. - Reviewed by Margaret Foley - Psychology Today)
Excerpt from the first part of the article: Imagine the pull of an exuberant improvising partner who takes risks and riffs on your original concept. Creative agility, role-playing, and detailed world-building can be charming and evocative assets, adding texture and color. But in serious situations involving concerning mental health symptoms, such as... Last30Days signal for AI psychology mental health, surfaced from Reddit public activity in the latest 30-day window.Excerpt from the first part of the article: Imagine the pull of an exuberant improvising partner who takes risks and riffs on your original concept. Creative agility, role-playing, and detailed world-building can be charming and evocative assets, adding texture and color. But in serious situations involving concerning mental health symptoms, such as... Last30Days signal for AI psychology mental health, surfaced from Reddit public activity in the latest 30-day window.
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
AI and the Psychology of Cognitive SurrenderAI and the Psychology of Cognitive Surrender
AI and the Psychology of Cognitive Surrender Last30Days signal for AI psychology mental health, surfaced from Hacker News public activity in the latest 30-day window.AI and the Psychology of Cognitive Surrender Last30Days signal for AI psychology mental health, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Teaching AI agents to ask better questions by playing “Battleship”Teaching AI agents to ask better questions by playing “Battleship”
MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
7 Ways New Engineers Can Flourish in the Age of AI7 Ways New Engineers Can Flourish in the Age of AI
New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the field’s tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need...New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the field’s tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need...
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
When AI Notetaking In Therapy Becomes a Breach of Trust - MindSite NewsWhen AI Notetaking In Therapy Becomes a Breach of Trust - MindSite News
When AI Notetaking In Therapy Becomes a Breach of Trust MindSite NewsWhen AI Notetaking In Therapy Becomes a Breach of Trust MindSite News
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
1 in 5 U.S. Adolescents and Young Adults Use AI Chatbots for Mental Health1 in 5 U.S. Adolescents and Young Adults Use AI Chatbots for Mental Health
1 in 5 U.S. Adolescents and Young Adults Use AI Chatbots for Mental Health Last30Days signal for AI psychology mental health, surfaced from Hacker News public activity in the latest 30-day window.1 in 5 U.S. Adolescents and Young Adults Use AI Chatbots for Mental Health Last30Days signal for AI psychology mental health, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Holo3.1: Fast & Local Computer Use AgentsHolo3.1: Fast & Local Computer Use Agents
Selected from Hugging Face Blog's public feed for its relevance to Open-Source AI and applied AI systems.来自 Hugging Face Blog 公开订阅源，内容与 Open-Source AI 及应用型 AI 系统建设相关。
Relevant to MAC-Lab's platform route: open tools and communities can accelerate prototypes, benchmarks, and deployable systems.对应实验室平台路线：开放工具与社区进展可加速原型、评测和可部署系统建设。
Rehumanizing global health care with agentic AIRehumanizing global health care with agentic AI
The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse.…The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse.…
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
How small businesses can leverage AIHow small businesses can leverage AI
This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here. From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to…This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here. From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to…
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
Speech Emotion Recognition using Attention-based LSTM-Network with Residual ConnectionSpeech Emotion Recognition using Attention-based LSTM-Network with Residual Connection
Speech emotion recognition is an important component of modern human-computer interaction systems. However, many state-of-the-art approaches rely on large pretrained models with high computational and memory requirements, limiting their applicability. This paper proposes ResLSTM-SA, a lightweight architecture that integrates residual connections with soft attention within an LSTM-based framework. Evaluated on the RAVDESS...Speech emotion recognition is an important component of modern human-computer interaction systems. However, many state-of-the-art approaches rely on large pretrained models with high computational and memory requirements, limiting their applicability. This paper proposes ResLSTM-SA, a lightweight architecture that integrates residual connections with soft attention within an LSTM-based framework. Evaluated on the RAVDESS...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Face versus Body Tracking for Human-Robot Interaction: An Egocentric DatasetFace versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset
To enable meaningful human-robot interaction (HRI), a robot must continuously assess engagement by consistently tracking users over time. State-of-the-art computer vision models, however, are heavily optimized for surveillance or autonomous driving. A social robot faces distinct egocentric challenges, such as humans bouncing, obstructing each other, or leaving the frame. Frequent identity switches (IDSW) cause the robot to...To enable meaningful human-robot interaction (HRI), a robot must continuously assess engagement by consistently tracking users over time. State-of-the-art computer vision models, however, are heavily optimized for surveillance or autonomous driving. A social robot faces distinct egocentric challenges, such as humans bouncing, obstructing each other, or leaving the frame. Frequent identity switches (IDSW) cause the robot to...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
The next wave of AI: Analyst explains how embodied AI is taking shape - CNBCThe next wave of AI: Analyst explains how embodied AI is taking shape - CNBC
The next wave of AI: Analyst explains how embodied AI is taking shape CNBCThe next wave of AI: Analyst explains how embodied AI is taking shape CNBC
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
$2,700 donated to Jack & Kathy Lucey foundation to give AI therapy dogs to people with Alzheimer's - WXOW$2,700 donated to Jack & Kathy Lucey foundation to give AI therapy dogs to people with Alzheimer's - WXOW
$2,700 donated to Jack & Kathy Lucey foundation to give AI therapy dogs to people with Alzheimer's WXOW$2,700 donated to Jack & Kathy Lucey foundation to give AI therapy dogs to people with Alzheimer's WXOW
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent LogicBeyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
Selected from Hugging Face Blog's public feed for its relevance to Open-Source AI and applied AI systems.来自 Hugging Face Blog 公开订阅源，内容与 Open-Source AI 及应用型 AI 系统建设相关。
Relevant to MAC-Lab's platform route: open tools and communities can accelerate prototypes, benchmarks, and deployable systems.对应实验室平台路线：开放工具与社区进展可加速原型、评测和可部署系统建设。
New Server Hopes to Break Through AI’s “Memory Wall”New Server Hopes to Break Through AI’s “Memory Wall”
Memory is arguably the most serious constraint on modern AI large language models (LLMs). According to one influential paper , LLM token generation is an inherently memory-bound task, meaning the rate at which models output text is limited by how quickly data can be read in from memory. The severity of this bottleneck grows with model size. This creates a...Memory is arguably the most serious constraint on modern AI large language models (LLMs). According to one influential paper , LLM token generation is an inherently memory-bound task, meaning the rate at which models output text is limited by how quickly data can be read in from memory. The severity of this bottleneck grows with model size. This creates a...
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering BenchmarkInsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark
Visual emotion understanding requires models not only to recognize emotional states, but also to why they arise and perform higher-level cognitive reasoning. However, existing benchmarks mainly focus on emotion recognition, offering limited support for grounded understanding and response-oriented analysis. To address this gap, we introduce \textbf{InsightVQA}, a large-scale dataset for hierarchical visual question answering...Visual emotion understanding requires models not only to recognize emotional states, but also to why they arise and perform higher-level cognitive reasoning. However, existing benchmarks mainly focus on emotion recognition, offering limited support for grounded understanding and response-oriented analysis. To address this gap, we introduce \textbf{InsightVQA}, a large-scale dataset for hierarchical visual question answering...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
SCOPE: Real-Time Natural Language Camera Agent at the EdgeSCOPE: Real-Time Natural Language Camera Agent at the Edge
Deploying language-driven agents in robotics requires evaluations that reflect real-world task demands: natural-language instructions with reproducible outcomes. Such agents must connect language models to callable perception and control tools, and be assessed using deployment-critical metrics including latency, accuracy, and error modes. We present SCOPE (Simulation and Camera Operations for Perception and Evaluation), a...Deploying language-driven agents in robotics requires evaluations that reflect real-world task demands: natural-language instructions with reproducible outcomes. Such agents must connect language models to callable perception and control tools, and be assessed using deployment-critical metrics including latency, accuracy, and error modes. We present SCOPE (Simulation and Camera Operations for Perception and Evaluation), a...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Bayesian Spectral Emotion Transition Discovery from Multi-Annotator DisagreementBayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
Emotions evolve through the dynamics of conversation, and understanding their transition structure is foundational to applications ranging from mental-health screening to dialogue systems. However, existing studies typically compress multi-rater judgments into a single hard label by majority voting, discarding the uncertainty signal needed to understand turn-to-turn transitions. In this article, we propose Bayesian Spectral...Emotions evolve through the dynamics of conversation, and understanding their transition structure is foundational to applications ranging from mental-health screening to dialogue systems. However, existing studies typically compress multi-rater judgments into a single hard label by majority voting, discarding the uncertainty signal needed to understand turn-to-turn transitions. In this article, we propose Bayesian Spectral...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
ICCDesign: An R Package for the Design and Analysis of ICC-Based Reliability Studies with Continuous ResponsesICCDesign: An R Package for the Design and Analysis of ICC-Based Reliability Studies with Continuous Responses
The intraclass correlation coefficient (ICC) is among the most widely used statistics in reliability research, playing a central role in medical measurement, psychological assessment, and behavioral science. However, practical application of ICC faces two major obstacles. First, ICC can be organized into multiple forms under the McGraw and Wong (1996) framework -- including six widely reported standard forms and four...The intraclass correlation coefficient (ICC) is among the most widely used statistics in reliability research, playing a central role in medical measurement, psychological assessment, and behavioral science. However, practical application of ICC faces two major obstacles. First, ICC can be organized into multiple forms under the McGraw and Wong (1996) framework -- including six widely reported standard forms and four...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
This DIY Bipedal Robot Used Pneumatic “Air-Muscles” Instead of MotorsThis DIY Bipedal Robot Used Pneumatic “Air-Muscles” Instead of Motors
In 1987, Richard Greenhill , a British photographer who was fascinated by (but had no actual training in) robotics, decided he wanted to build a life-size humanoid that could do useful things, like carrying luggage. He was working at a startup called Intergalactic Robots, but he couldn’t convince anyone there to build such a machine, so he set about...In 1987, Richard Greenhill , a British photographer who was fascinated by (but had no actual training in) robotics, decided he wanted to build a life-size humanoid that could do useful things, like carrying luggage. He was working at a startup called Intergalactic Robots, but he couldn’t convince anyone there to build such a machine, so he set about...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
A Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion RecognitionA Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion Recognition
Real-time emotion recognition from facial expressions is a challenging task, particularly in video-based scenarios where multiple emotional states may occur over time. The difficulty increases further due to the fact that each emotional state is associated with facial expressions that vary significantly across individuals. The change of facial expressions portraying emotional state is not discrete, but rather continuous,...Real-time emotion recognition from facial expressions is a challenging task, particularly in video-based scenarios where multiple emotional states may occur over time. The difficulty increases further due to the fact that each emotional state is associated with facial expressions that vary significantly across individuals. The change of facial expressions portraying emotional state is not discrete, but rather continuous,...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Please Do Not Vibe Fuck Up This SoftwarePlease Do Not Vibe Fuck Up This Software
Looks like it's time to vibe-fork in Rust. AI and C are an explosive combination. i wondered why my 3d printers were running like sh*t and at 100% cpu; turns out log2ram uses rsync. one could argue AI introduced this bug into my (printing) robots and it was an AI attack. The issue tracker is not a place for you to farm viral social media posts. Either... Last30Days signal for AI mental health digital wellbeing, surfaced from GitHub public activity in the latest 30-day window.Looks like it's time to vibe-fork in Rust. AI and C are an explosive combination. i wondered why my 3d printers were running like sh*t and at 100% cpu; turns out log2ram uses rsync. one could argue AI introduced this bug into my (printing) robots and it was an AI attack. The issue tracker is not a place for you to farm viral social media posts. Either... Last30Days signal for AI mental health digital wellbeing, surfaced from GitHub public activity in the latest 30-day window.
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEGDive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG
We study cross-subject emotion recognition from EEG, a practically important yet challenging problem in brain-computer interfaces. Unlike tasks with clear waveform signatures, emotion-related EEG signals are primarily encoded in spectral power and are weak, noisy, and highly variable across subjects. Existing approaches rely either on large pretrained EEG foundation models, which require massive data yet still struggle with...We study cross-subject emotion recognition from EEG, a practically important yet challenging problem in brain-computer interfaces. Unlike tasks with clear waveform signatures, emotion-related EEG signals are primarily encoded in spectral power and are weak, noisy, and highly variable across subjects. Existing approaches rely either on large pretrained EEG foundation models, which require massive data yet still struggle with...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Beyond the Mouth: Upper-Face Affective Cues in Audiovisual Sentence Recognition under Acoustic UncertaintyBeyond the Mouth: Upper-Face Affective Cues in Audiovisual Sentence Recognition under Acoustic Uncertainty
Face-to-face speech comprehension is inherently multimodal, integrating acoustic signals with visible articulation, facial expression, head motion, and other socially relevant cues. While audiovisual speech systems typically focus on the mouth region as the primary visual source of linguistic information, affective facial expressions are often treated separately as emotion-recognition targets. This paper investigates whether...Face-to-face speech comprehension is inherently multimodal, integrating acoustic signals with visible articulation, facial expression, head motion, and other socially relevant cues. While audiovisual speech systems typically focus on the mouth region as the primary visual source of linguistic information, affective facial expressions are often treated separately as emotion-recognition targets. This paper investigates whether...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
A multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videosA multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videos
Autonomous Sensory Meridian Response (ASMR) is a somatosensory phenomenon characterized by pleasant tingling sensations and cardiovascular slowing. However, ASMR research has been hindered by a dearth of standardized, open-access multimodal datasets. To address this limitation, we present REST-ASMR (Response to Environmental & Sensory Triggers), a synchronized multimodal dataset designed to capture behavioral reports and...Autonomous Sensory Meridian Response (ASMR) is a somatosensory phenomenon characterized by pleasant tingling sensations and cardiovascular slowing. However, ASMR research has been hindered by a dearth of standardized, open-access multimodal datasets. To address this limitation, we present REST-ASMR (Response to Environmental & Sensory Triggers), a synchronized multimodal dataset designed to capture behavioral reports and...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Report finds serious safety gaps in AI mental health apps for tweens/teens - Seattle's ChildReport finds serious safety gaps in AI mental health apps for tweens/teens - Seattle's Child
Report finds serious safety gaps in AI mental health apps for tweens/teens Seattle's ChildReport finds serious safety gaps in AI mental health apps for tweens/teens Seattle's Child
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
AI 'Therapy Session' Reveals Credit Unions' Balancing Act Between Innovation & Trust - CUTimesAI 'Therapy Session' Reveals Credit Unions' Balancing Act Between Innovation & Trust - CUTimes
AI 'Therapy Session' Reveals Credit Unions' Balancing Act Between Innovation & Trust CUTimesAI 'Therapy Session' Reveals Credit Unions' Balancing Act Between Innovation & Trust CUTimes
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Sleep Oxygen Drops May Slow Emotion Recognition - EMJSleep Oxygen Drops May Slow Emotion Recognition - EMJ
Sleep Oxygen Drops May Slow Emotion Recognition EMJSleep Oxygen Drops May Slow Emotion Recognition EMJ
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Embodied Cognition and Agentic AIEmbodied Cognition and Agentic AI
Embodied Cognition and Agentic AI Last30Days signal for embodied emotional intelligence robot emotion, surfaced from Hacker News public activity in the latest 30-day window.Embodied Cognition and Agentic AI Last30Days signal for embodied emotional intelligence robot emotion, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI momentHow the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment
Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial...Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial...
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
Video Friday: Extreme Omnidirectional RobotVideo Friday: Extreme Omnidirectional Robot
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion. ICRA 2026 : 1–5 June 2026, VIENNA RSS 2026 : 13–17 July 2026, SYDNEY Summer School on Multi-Robot Systems : 29...Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion. ICRA 2026 : 1–5 June 2026, VIENNA RSS 2026 : 13–17 July 2026, SYDNEY Summer School on Multi-Robot Systems : 29...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Can Generative AI help people navigate Radical Moral Disagreements? The CONSIDER prototypeCan Generative AI help people navigate Radical Moral Disagreements? The CONSIDER prototype
Radical Moral Disagreements (RMDs) are highly polarising topics that are increasingly censored in everyday life, with growing evidence suggesting that this polarisation carries measurable costs to public mental health. To address these challenges, some researchers have proposed Large Language Models (LLMs) as a means to support more democratic deliberation and better moral reasoning. Yet existing tools are poorly calibrated...Radical Moral Disagreements (RMDs) are highly polarising topics that are increasingly censored in everyday life, with growing evidence suggesting that this polarisation carries measurable costs to public mental health. To address these challenges, some researchers have proposed Large Language Models (LLMs) as a means to support more democratic deliberation and better moral reasoning. Yet existing tools are poorly calibrated...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignmentUF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
In recent years, emotion recognition based on physiological signals such as electroencephalogram (EEG) has gained considerable attention, as internal physiological data offer greater objectivity and reliability compared to external behavioral data like facial expressions. However, due to distribution shifts caused by individual and contextual differences, along with variations in sample quality across modalities, constructing...In recent years, emotion recognition based on physiological signals such as electroencephalogram (EEG) has gained considerable attention, as internal physiological data offer greater objectivity and reliability compared to external behavioral data like facial expressions. However, due to distribution shifts caused by individual and contextual differences, along with variations in sample quality across modalities, constructing...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression DetectionBeyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
Deep learning-based Major Depressive Disorder (MDD) detection using Electroencephalography (EEG) is fundamentally constrained by the "small-sample dilemma." Prevailing generative data augmentation methods not only incur heavy computational overhead but also risk introducing synthetic noise, thereby blurring classification boundaries. To challenge the traditional "data quantity first" convention, we propose a novel framework...Deep learning-based Major Depressive Disorder (MDD) detection using Electroencephalography (EEG) is fundamentally constrained by the "small-sample dilemma." Prevailing generative data augmentation methods not only incur heavy computational overhead but also risk introducing synthetic noise, thereby blurring classification boundaries. To challenge the traditional "data quantity first" convention, we propose a novel framework...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
UXR PoV for Neuroinclusive Emotion RegulationUXR PoV for Neuroinclusive Emotion Regulation
Attention-deficit/hyperactivity disorder (ADHD) is a psychiatric disorder which presents itself in individuals through patterns of developmentally inappropriate levels of inattentiveness, hyperactivity, and impulsivity, with difficulties in decision making and emotional regulation (ER). Although digital and AI-based interventions have expanded access to ER support, many existing systems remain limited by weak theoretical...Attention-deficit/hyperactivity disorder (ADHD) is a psychiatric disorder which presents itself in individuals through patterns of developmentally inappropriate levels of inattentiveness, hyperactivity, and impulsivity, with difficulties in decision making and emotional regulation (ER). Although digital and AI-based interventions have expanded access to ER support, many existing systems remain limited by weak theoretical...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 - Towards Data ScienceEmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 - Towards Data Science
EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 Towards Data ScienceEmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 Towards Data Science
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Some AI mental health apps are harmful for kids, says report—what experts say parents should keep in mind - CNBCSome AI mental health apps are harmful for kids, says report—what experts say parents should keep in mind - CNBC
Some AI mental health apps are harmful for kids, says report—what experts say parents should keep in mind CNBCSome AI mental health apps are harmful for kids, says report—what experts say parents should keep in mind CNBC
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
PRD: AgentSoul v2.0 TypeScript/Tauri Local-first AI Agent CompanionPRD: AgentSoul v2.0 TypeScript/Tauri Local-first AI Agent Companion
TDD update from codex/issue-26-v2-workspace: - Added export format versioning for User-managed Export: Portable Data and Sensitive Export payloads now include and . - Added external local Skill Pack import smoke coverage: plus common rule files such as and are imported without workspace deploym... Correction to the previous update comment: the shell... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.TDD update from codex/issue-26-v2-workspace: - Added export format versioning for User-managed Export: Portable Data and Sensitive Export payloads now include and . - Added external local Skill Pack import smoke coverage: plus common rule files such as and are imported without workspace deploym... Correction to the previous update comment: the shell... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Data Formulator 0.7: AI-powered data analytics for enterprise dataData Formulator 0.7: AI-powered data analytics for enterprise data
Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on...Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace where users can explore, analyze, and visualize data with AI agents to turn raw data into actionable insights. The post Data Formulator 0.7: AI-powered data analytics for enterprise data appeared first on...
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community FeedbackLLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substantial compute, expert input, and labeled data. At the same time, deploying proprietary, cloud-based models for mental health-related interactions raises important privacy and data-governance concerns, given the sensitivities. To address this challenge,...Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substantial compute, expert input, and labeled data. At the same time, deploying proprietary, cloud-based models for mental health-related interactions raises important privacy and data-governance concerns, given the sensitivities. To address this challenge,...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion DetectionEvaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection
Valuable decisions and highly prioritized analysis now depend on applications such as facial biometrics, social media photo tagging, and human robots interactions. However, the ability to successfully deploy such applications is based on their efficiencies on tested use cases taking into consideration possible edge cases. Over the years, lots of generalized solutions have been implemented to mimic human emotions including...Valuable decisions and highly prioritized analysis now depend on applications such as facial biometrics, social media photo tagging, and human robots interactions. However, the ability to successfully deploy such applications is based on their efficiencies on tested use cases taking into consideration possible edge cases. Over the years, lots of generalized solutions have been implemented to mimic human emotions including...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation ModelsBenchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models
Electroencephalography (EEG) is a widely used non-invasive technique for measuring brain activity in brain-computer interface (BCI) applications. Supervised EEG decoding models often struggle to generalize across tasks, subjects, and datasets, motivating transformer-based EEG foundation models trained with self-supervised learning. Since transformers are permutation-invariant, they require explicit positional information....Electroencephalography (EEG) is a widely used non-invasive technique for measuring brain activity in brain-computer interface (BCI) applications. Supervised EEG decoding models often struggle to generalize across tasks, subjects, and datasets, motivating transformer-based EEG foundation models trained with self-supervised learning. Since transformers are permutation-invariant, they require explicit positional information....
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
State-Anchored Complete-View Distillation for Robust Conversational Multimodal Emotion RecognitionState-Anchored Complete-View Distillation for Robust Conversational Multimodal Emotion Recognition
Conversational multimodal emotion recognition (MER) requires reliable prediction when language, acoustic, or visual observations are missing or unreliable. Many missing-modality methods reconstruct absent inputs, yet such recovery can be non-unique in dialogue context, and nonverbal cues may conflict with the target utterance. To this end, we propose CoRe-KD (Complete-view Reference-guided Knowledge Distillation), a...Conversational multimodal emotion recognition (MER) requires reliable prediction when language, acoustic, or visual observations are missing or unreliable. Many missing-modality methods reconstruct absent inputs, yet such recovery can be non-unique in dialogue context, and nonverbal cues may conflict with the target utterance. To this end, we propose CoRe-KD (Complete-view Reference-guided Knowledge Distillation), a...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Expecting Empathy: How Interaction Context Shapes Norms for Empathic Response in Digital CommunicationExpecting Empathy: How Interaction Context Shapes Norms for Empathic Response in Digital Communication
A central challenge in affective computing is determining appropriate empathy levels for different interaction contexts. Prior work has characterized two poles: task-focused interactions, where empathy demand is near zero, and emotional disclosure, where empathy demand is high. This paper identifies a distinct intermediate type, decision support under stress, in which a sender faces a consequential choice while experiencing...A central challenge in affective computing is determining appropriate empathy levels for different interaction contexts. Prior work has characterized two poles: task-focused interactions, where empathy demand is near zero, and emotional disclosure, where empathy demand is high. This paper identifies a distinct intermediate type, decision support under stress, in which a sender faces a consequential choice while experiencing...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
v1.5+ wire-format candidates from trio mapping (9 T-3 + 5 ergonomic) — Phase 3 + 4 resultsv1.5+ wire-format candidates from trio mapping (9 T-3 + 5 ergonomic) — Phase 3 + 4 results
## Additional v1.5 candidate — `need:{domain}:{kind}` (NodeCore-owned, UI-blocked) Proposing one more candidate for the v1.5 workshop list — surfaced by [`CIRISAgent#800`](https://github.com/CIRISAI/CIRISAgent/issues/800) / [`CIRISNodeCore#12`](https://github.com/CIRISAI/CIRISNodeCore/issues/12) (t... ## v1.5 candidates partially absorbed into v1.4 Per the... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.## Additional v1.5 candidate — `need:{domain}:{kind}` (NodeCore-owned, UI-blocked) Proposing one more candidate for the v1.5 workshop list — surfaced by [`CIRISAgent#800`](https://github.com/CIRISAI/CIRISAgent/issues/800) / [`CIRISNodeCore#12`](https://github.com/CIRISAI/CIRISNodeCore/issues/12) (t... ## v1.5 candidates partially absorbed into v1.4 Per the... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Digital Mental Health Company Acquires Nora Mental Health - Behavioral Health BusinessDigital Mental Health Company Acquires Nora Mental Health - Behavioral Health Business
Digital Mental Health Company Acquires Nora Mental Health Behavioral Health BusinessDigital Mental Health Company Acquires Nora Mental Health Behavioral Health Business
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
北航携手京东健康发布AI心理平台 启动心理评估大模型研发 - 北航新闻网北航携手京东健康发布AI心理平台 启动心理评估大模型研发 - 北航新闻网
Selected from Google 新闻's public feed for its relevance to AI + Psychology and applied AI systems.来自 Google 新闻 公开订阅源，内容与 AI + Psychology 及应用型 AI 系统建设相关。
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
A writing coach to help you develop a story about survival after traumaA writing coach to help you develop a story about survival after trauma
Full prompt: +++++++++++++++++++++++++++++++++ You are an AI manuscript coach and reflective quizzer helping me develop a philosophical/literary manuscript centered on: - embodied loss - trauma and altered temporality - rupture and survival - dissociation - petrification/stagnation - identity shaped by absence - mourning versus adaptation - archetypal... Last30Days signal for embodied emotional intelligence robot emotion, surfaced from Reddit public activity in the latest 30-day window.Full prompt: +++++++++++++++++++++++++++++++++ You are an AI manuscript coach and reflective quizzer helping me develop a philosophical/literary manuscript centered on: - embodied loss - trauma and altered temporality - rupture and survival - dissociation - petrification/stagnation - identity shaped by absence - mourning versus adaptation - archetypal... Last30Days signal for embodied emotional intelligence robot emotion, surfaced from Reddit public activity in the latest 30-day window.
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
South Africa Has AI Leverage. Its Draft Policy Leaves It UnusedSouth Africa Has AI Leverage. Its Draft Policy Leaves It Unused
This article is adapted by the author with permission from Tech Policy Press . Read the original article . South Africa is not just another developing country struggling to govern artificial intelligence; it is the exception with leverage, and the window to act on it is closing. It holds approximately 88 percent of global platinum-group metal reserves ,...This article is adapted by the author with permission from Tech Policy Press . Read the original article . South Africa is not just another developing country struggling to govern artificial intelligence; it is the exception with leverage, and the window to act on it is closing. It holds approximately 88 percent of global platinum-group metal reserves ,...
Relevant to industry translation: it helps track deployable AI products, application demand, and partner-facing scenarios.对应产业转化：用于观察可部署 AI 产品、应用需求和合作场景变化。
When Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case InteractionsWhen Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case Interactions
Emotional Support Dialogue Systems (ESDSes) are increasingly evaluated and trained with LLM-simulated seekers. However, such simulated seekers often behave as cooperative, average-case users who disclose clearly, respond constructively, and accept support within a few turns. This can lead to overly optimistic evaluation and obscure whether ESDSes can handle difficult help-seeking interactions. In this work, we study ESDS...Emotional Support Dialogue Systems (ESDSes) are increasingly evaluated and trained with LLM-simulated seekers. However, such simulated seekers often behave as cooperative, average-case users who disclose clearly, respond constructively, and accept support within a few turns. This can lead to overly optimistic evaluation and obscure whether ESDSes can handle difficult help-seeking interactions. In this work, we study ESDS...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support ConversationsESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
Existing emotional support conversation (ESC) systems mainly rely on end-to-end response generation or coarse strategy supervision, offering limited interpretability and little support for systematic skill improvement. We propose ESC-Skills, a skill-centric framework that discovers and self-evolves executable emotional support skills. We first model localized support interactions as Intervention Units (IUs), which capture...Existing emotional support conversation (ESC) systems mainly rely on end-to-end response generation or coarse strategy supervision, offering limited interpretability and little support for systematic skill improvement. We propose ESC-Skills, a skill-centric framework that discovers and self-evolves executable emotional support skills. We first model localized support interactions as Intervention Units (IUs), which capture...
Relevant to emotional support agents: it connects affective NLP, dialogue safety, counseling interaction, and long-term companionship.对应情感支持智能体：连接情感 NLP、对话安全、咨询交互和长期陪伴能力。
A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation ModelsA Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
Evaluating foundation models under appropriate adaptation settings is essential for understanding the quality and transferability of the learned representations. Recent EEG foundation models have demonstrated promising transfer capabilities across tasks and datasets, motivating their growing use in neurotechnology and clinical applications. However, these models are typically evaluated under full fine-tuning on well-curated...Evaluating foundation models under appropriate adaptation settings is essential for understanding the quality and transferability of the learned representations. Recent EEG foundation models have demonstrated promising transfer capabilities across tasks and datasets, motivating their growing use in neurotechnology and clinical applications. However, these models are typically evaluated under full fine-tuning on well-curated...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression DetectionComparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection
Recent advances in deep learning have enabled increasingly accurate electroencephalography (EEG)-based classification of Major Depressive Disorder (MDD), but the decision-making processes of high-capacity models remain difficult to interpret. This study investigates multiple post-hoc explainability methods applied to an InceptionTime architecture trained for EEG-based MDD detection. The analysis includes Shapley-based,...Recent advances in deep learning have enabled increasingly accurate electroencephalography (EEG)-based classification of Major Depressive Disorder (MDD), but the decision-making processes of high-capacity models remain difficult to interpret. This study investigates multiple post-hoc explainability methods applied to an InceptionTime architecture trained for EEG-based MDD detection. The analysis includes Shapley-based,...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group ChatsSuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
Suicide is a critical global public health challenge, causing approximately 720,000 deaths each year and calling for timely, effective prevention strategies. Existing computational studies primarily focus on post-based social media platforms such as Twitter and Weibo, leaving instant messaging environments such as Telegram underexplored. Yet group chats pose distinct challenges: messages are short, fragmented, multi-party,...Suicide is a critical global public health challenge, causing approximately 720,000 deaths each year and calling for timely, effective prevention strategies. Existing computational studies primarily focus on post-based social media platforms such as Twitter and Weibo, leaving instant messaging environments such as Telegram underexplored. Yet group chats pose distinct challenges: messages are short, fragmented, multi-party,...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Tag-corpus clustering: empirical resolution for substrate taxonomy (sub-issue of #66)Tag-corpus clustering: empirical resolution for substrate taxonomy (sub-issue of #66)
## Tag corpus located + provenance (5/26) **Corpus file:** `ani-docs/research/elevenlabs-v3-tags-ALL.json` — 1806 tags, JSON. Each entry has `id`, `tag`, `description`, `category`, engagement metrics. **Provenance:** Pulled from third-party catalogue site `audio-generation-plugin.com/eleven-v3-tag... ## Clustering v1 results (5/26 evening) Full results... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.## Tag corpus located + provenance (5/26) **Corpus file:** `ani-docs/research/elevenlabs-v3-tags-ALL.json` — 1806 tags, JSON. Each entry has `id`, `tag`, `description`, `category`, engagement metrics. **Provenance:** Pulled from third-party catalogue site `audio-generation-plugin.com/eleven-v3-tag... ## Clustering v1 results (5/26 evening) Full results... Last30Days signal for affective computing emotion AI, surfaced from GitHub public activity in the latest 30-day window.
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion RecognitionMSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition
Electroencephalogram (EEG)-based emotion recognition is an important affective computing task, and recent EEG foundation models provide useful generic representations for downstream adaptation. However, under the fine-tuning setting, three limitations remain prominent: insufficient modeling of multi-scale emotional dynamics, inadequate exploitation of inter-channel functional connectivity, and the limited expressive power of...Electroencephalogram (EEG)-based emotion recognition is an important affective computing task, and recent EEG foundation models provide useful generic representations for downstream adaptation. However, under the fine-tuning setting, three limitations remain prominent: insufficient modeling of multi-scale emotional dynamics, inadequate exploitation of inter-channel functional connectivity, and the limited expressive power of...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Causal Risk Minimization for High-Dimensional TreatmentsCausal Risk Minimization for High-Dimensional Treatments
Predicting the effect of interventions with many possible variations, e.g., therapeutic content that affects mental health outcomes or an earnings call transcript that drives movement in share price, is useful across several domains. However, classical causal estimators tend to assume that all possible interventions are observed, which is infeasible when interventions vary widely, for instance, in the space of all text...Predicting the effect of interventions with many possible variations, e.g., therapeutic content that affects mental health outcomes or an earnings call transcript that drives movement in share price, is useful across several domains. However, classical causal estimators tend to assume that all possible interventions are observed, which is infeasible when interventions vary widely, for instance, in the space of all text...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Synthetic Emotions vs. Gamification: Exploring Engagement Strategies for Small Social Robots in Different Age GroupsSynthetic Emotions vs. Gamification: Exploring Engagement Strategies for Small Social Robots in Different Age Groups
Many children experience challenges in emotional regulation and social interaction, which can limit their participation in everyday activities and therapeutic programs. For socially assistive robots to be effective in this context, it is essential that children remain consistently and meaningfully engaged. We explore engagement strategies for a tactile robot designed to support children suffering from anxiety disorders...Many children experience challenges in emotional regulation and social interaction, which can limit their participation in everyday activities and therapeutic programs. For socially assistive robots to be effective in this context, it is essential that children remain consistently and meaningfully engaged. We explore engagement strategies for a tactile robot designed to support children suffering from anxiety disorders...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Resource-Constrained Affect Modelling via Variance Regularisation PruningResource-Constrained Affect Modelling via Variance Regularisation Pruning
Affective computing systems are increasingly embedded in pervasive and interactive environments, such as adaptive games, assistive technologies, and resource-constrained platforms, where computational efficiency must be balanced with reliability across diverse users. Model pruning offers an effective way to reduce computational demands, yet existing approaches typically optimise for sparsity alone, without accounting for how...Affective computing systems are increasingly embedded in pervasive and interactive environments, such as adaptive games, assistive technologies, and resource-constrained platforms, where computational efficiency must be balanced with reliability across diverse users. Model pruning offers an effective way to reduce computational demands, yet existing approaches typically optimise for sparsity alone, without accounting for how...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Harness, Scaffold, and the AI Agent Terms Worth Getting RightHarness, Scaffold, and the AI Agent Terms Worth Getting Right
Selected from Hugging Face Blog's public feed for its relevance to Open-Source AI and applied AI systems.来自 Hugging Face Blog 公开订阅源，内容与 Open-Source AI 及应用型 AI 系统建设相关。
Relevant to MAC-Lab's platform route: open tools and communities can accelerate prototypes, benchmarks, and deployable systems.对应实验室平台路线：开放工具与社区进展可加速原型、评测和可部署系统建设。
MTLLFM: Multimodal-Temporal Laughter Localization: UR-FUNNY-Temporal and SMILE-Temporal Benchmarks with an Adaptive Multimodal Fusion ModelMTLLFM: Multimodal-Temporal Laughter Localization: UR-FUNNY-Temporal and SMILE-Temporal Benchmarks with an Adaptive Multimodal Fusion Model
Detecting laughter in video is essential for affective computing and narrative understanding, yet existing approaches treat it as coarse clip-level classification, failing to capture precise temporal boundaries of brief, transient laughter events. We address this gap with two complementary contributions. First, we introduce UR-FUNNY-Temporal and SMILE-Temporal, fully annotated temporal laughter datasets extending two...Detecting laughter in video is essential for affective computing and narrative understanding, yet existing approaches treat it as coarse clip-level classification, failing to capture precise temporal boundaries of brief, transient laughter events. We address this gap with two complementary contributions. First, we introduce UR-FUNNY-Temporal and SMILE-Temporal, fully annotated temporal laughter datasets extending two...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Toward Natural Emotional Text-To-Speech System with Fine-Grained Non-Verbal Expression ControlToward Natural Emotional Text-To-Speech System with Fine-Grained Non-Verbal Expression Control
While current emotional Text-to-Speech (TTS) models have successfully controlled verbal prosody, they often ignore non-verbal vocalizations (NVs), which are essential for authentic human emotion. Although some non-verbal datasets have recently emerged, they often lack high-quality, fine-grained annotations, which restricts a model's ability to precisely control NV generation. To address this limitation, we propose a novel...While current emotional Text-to-Speech (TTS) models have successfully controlled verbal prosody, they often ignore non-verbal vocalizations (NVs), which are essential for authentic human emotion. Although some non-verbal datasets have recently emerged, they often lack high-quality, fine-grained annotations, which restricts a model's ability to precisely control NV generation. To address this limitation, we propose a novel...
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia DataQuantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data
Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with significant personal and societal impacts. Current clinical assessments of PTSD often rely on subjective evaluations, which can be time-consuming, costly, and prone to human bias. This study proposes a machine learning (ML) approach based on multivariate kernel density estimation (MKDE) technique for the objective evaluation of...Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with significant personal and societal impacts. Current clinical assessments of PTSD often rely on subjective evaluations, which can be time-consuming, costly, and prone to human bias. This study proposes a machine learning (ML) approach based on multivariate kernel density estimation (MKDE) technique for the objective evaluation of...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
First, do no harm: Breaking suicidogenic echo chambers in media recommendationFirst, do no harm: Breaking suicidogenic echo chambers in media recommendation
Recommender systems generally optimises user engagement, but this approach is dangerous in mental health contexts. When vulnerable users show signs of suicidal ideation, standard algorithms often trap them in echo chambers of harmful content, worsening their psychological state. In response, we introduce RankAid, a re-ranking method that prioritises clinical safety alongside predictive relevance. It works as an add-on layer...Recommender systems generally optimises user engagement, but this approach is dangerous in mental health contexts. When vulnerable users show signs of suicidal ideation, standard algorithms often trap them in echo chambers of harmful content, worsening their psychological state. In response, we introduce RankAid, a re-ranking method that prioritises clinical safety alongside predictive relevance. It works as an add-on layer...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
E17-2 — Action skill-card registry for move, observe, build, craft, gather, conversation, and safetyE17-2 — Action skill-card registry for move, observe, build, craft, gather, conversation, and safety
## AI Implementation Notes warning: `--full-auto` is deprecated; use `--sandbox workspace-write` instead. Reading prompt from stdin... OpenAI Codex v0.130.0 -------- workdir: /Users/bradtaylor/Documents/GitHub/livestreamtoagi/.worktrees/issue-778 model: gpt-5.5 provider: openai approval: never sand... Automated implementation complete. **PR**:... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from GitHub public activity in the latest 30-day window.## AI Implementation Notes warning: `--full-auto` is deprecated; use `--sandbox workspace-write` instead. Reading prompt from stdin... OpenAI Codex v0.130.0 -------- workdir: /Users/bradtaylor/Documents/GitHub/livestreamtoagi/.worktrees/issue-778 model: gpt-5.5 provider: openai approval: never sand... Automated implementation complete. **PR**:... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from GitHub public activity in the latest 30-day window.
Relevant to emotional support agents: it connects affective NLP, dialogue safety, counseling interaction, and long-term companionship.对应情感支持智能体：连接情感 NLP、对话安全、咨询交互和长期陪伴能力。
Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health CareExploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care
Speech and language technologies offer valuable opportunities for supporting mental health assessment through objective and interpretable cues. We present a systematic feature-based analysis framework leveraging perceptually grounded acoustic and linguistic characteristics, including prosody, vocal quality, semantic coherence, syntactic structure, and sarcasm. Using statistical analysis and interpretable machine learning...Speech and language technologies offer valuable opportunities for supporting mental health assessment through objective and interpretable cues. We present a systematic feature-based analysis framework leveraging perceptually grounded acoustic and linguistic characteristics, including prosody, vocal quality, semantic coherence, syntactic structure, and sarcasm. Using statistical analysis and interpretable machine learning...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Hardware-Aware Federated Learning for Speech Emotion RecognitionHardware-Aware Federated Learning for Speech Emotion Recognition
Federated learning (FL) enables privacy-preserving collaborative training across distributed edge devices, but real deployments involve heterogeneous clients with different processing power, memory capacity, and communication latency, which often increase round duration and system cost. This paper proposes a hardware-aware federated learning framework for emotion recognition on session-partitioned IEMOCAP that integrates...Federated learning (FL) enables privacy-preserving collaborative training across distributed edge devices, but real deployments involve heterogeneous clients with different processing power, memory capacity, and communication latency, which often increase round duration and system cost. This paper proposes a hardware-aware federated learning framework for emotion recognition on session-partitioned IEMOCAP that integrates...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Meta settles first US case over school costs tied to youth mental health, court filing shows - IndiatimesMeta settles first US case over school costs tied to youth mental health, court filing shows - Indiatimes
Meta settles first US case over school costs tied to youth mental health, court filing shows IndiatimesMeta settles first US case over school costs tied to youth mental health, court filing shows Indiatimes
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric ScreeningWhen Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
As demand for mental health care outpaces clinician-delivered assessment, scalable screening tools are increasingly needed. Large language models (LLMs) may identify psychiatric risk from patient narratives, but their reliability across diagnoses, demographic subgroups, and evidence-use patterns remains uncertain. We introduce a SCID-anchored benchmark of 555 semi-structured experiential interviews paired with diagnostic...As demand for mental health care outpaces clinician-delivered assessment, scalable screening tools are increasingly needed. Large language models (LLMs) may identify psychiatric risk from patient narratives, but their reliability across diagnoses, demographic subgroups, and evidence-use patterns remains uncertain. We introduce a SCID-anchored benchmark of 555 semi-structured experiential interviews paired with diagnostic...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
CUNY at CLPsych 2026: A Pipeline Approach to Classification and Summarization of Mental Health ChangesCUNY at CLPsych 2026: A Pipeline Approach to Classification and Summarization of Mental Health Changes
We describe our submission to the CLPsych~2026 Shared Task on capturing and characterizing mental health changes through social media timeline dynamics. To infer the dominant self-states in posts (Tasks 1.1 and 1.2), we ensemble in-context learning of three open-weight large language models using majority voting. For predicting moments of change in a timeline (Task~2), we train supervised classifiers on features derived from...We describe our submission to the CLPsych~2026 Shared Task on capturing and characterizing mental health changes through social media timeline dynamics. To infer the dominant self-states in posts (Tasks 1.1 and 1.2), we ensemble in-context learning of three open-weight large language models using majority voting. For predicting moments of change in a timeline (Task~2), we train supervised classifiers on features derived from...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small modelsMagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models
MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and orchestration to support efficient agentic performance on everyday tasks. The post MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models appeared first on Microsoft...MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and orchestration to support efficient agentic performance on everyday tasks. The post MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models appeared first on Microsoft...
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion ModelsBeyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models
We investigate whether acoustic emotion recognition models can serve as proxies for the Pathos dimension in political speech analysis, as operationalised by the TRUST multi-agent large language model (LLM) pipeline. Using a Bundestag plenary speech by Felix Banaszak (51 segments, 245 s) as a case study, we compare three analysis modalities: (1) emotion2vec_plus_large, an acoustic speech emotion recognition (SER) model whose...We investigate whether acoustic emotion recognition models can serve as proxies for the Pathos dimension in political speech analysis, as operationalised by the TRUST multi-agent large language model (LLM) pipeline. Using a Bundestag plenary speech by Felix Banaszak (51 segments, 245 s) as a case study, we compare three analysis modalities: (1) emotion2vec_plus_large, an acoustic speech emotion recognition (SER) model whose...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session RegimesEmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes
Text-based counseling is an important interface for AI mental-health support, where transcripts may be used to monitor depression severity and flag sessions requiring timely human review. However, robust PHQ-8 prediction across session regimes remains challenging: fine-tuning-based methods can exploit richer supervision but may generalize poorly under data scarcity, while prompt-based LLM methods are data-efficient but...Text-based counseling is an important interface for AI mental-health support, where transcripts may be used to monitor depression severity and flag sessions requiring timely human review. However, robust PHQ-8 prediction across session regimes remains challenging: fine-tuning-based methods can exploit richer supervision but may generalize poorly under data scarcity, while prompt-based LLM methods are data-efficient but...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Boundary-targeted Membership Inference Attacks on Safety ClassifiersBoundary-targeted Membership Inference Attacks on Safety Classifiers
Safety classifiers are essential safeguards within generative AI systems, filtering harmful content or identifying at-risk users when interacting with large language models. Despite their necessity, these models are trained on sensitive datasets including discussions of self-harm and mental health, raising important, yet poorly understood, privacy concerns. Membership inference attacks (MIAs) allow adversaries to infer...Safety classifiers are essential safeguards within generative AI systems, filtering harmful content or identifying at-risk users when interacting with large language models. Despite their necessity, these models are trained on sensitive datasets including discussions of self-harm and mental health, raising important, yet poorly understood, privacy concerns. Membership inference attacks (MIAs) allow adversaries to infer...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Psy-Chronicle:A Structured Pipeline for Synthesizing Long-Horizon Campus Psychological Counseling DialoguesPsy-Chronicle:A Structured Pipeline for Synthesizing Long-Horizon Campus Psychological Counseling Dialogues
In recent years, large language models have shown substantial potential in psychological support tasks. However, existing psychological counseling data mostly rely on single-turn question answering or short multi-turn dialogues, making it difficult to characterize how college students' psychological distress accumulates, interacts, and gradually evolves over long periods within campus life events. To address this issue, this...In recent years, large language models have shown substantial potential in psychological support tasks. However, existing psychological counseling data mostly rely on single-turn question answering or short multi-turn dialogues, making it difficult to characterize how college students' psychological distress accumulates, interacts, and gradually evolves over long periods within campus life events. To address this issue, this...
Relevant to emotional support agents: it connects affective NLP, dialogue safety, counseling interaction, and long-term companionship.对应情感支持智能体：连接情感 NLP、对话安全、咨询交互和长期陪伴能力。
L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and BenchmarkL-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
We introduce a novel Longitudinal Focused Attention Meditation Electroencephalography (L-FAME) dataset and an accompanying benchmark, designed to foster research into the neural effects of various meditation practices and the evolution of these effects over a six-week training period. The dataset contains EEG recordings and psychological assessments from 74 healthy college participants, collected at two distinct time points:...We introduce a novel Longitudinal Focused Attention Meditation Electroencephalography (L-FAME) dataset and an accompanying benchmark, designed to foster research into the neural effects of various meditation practices and the evolution of these effects over a six-week training period. The dataset contains EEG recordings and psychological assessments from 74 healthy college participants, collected at two distinct time points:...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG MethodsDreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
We present DreamerNLplus, a hybrid framework for modeling mental health dynamics from social media timelines in the CLPsych 2026 shared task. Our system addresses three tasks: psychological state modeling, temporal change detection, and sequence-level summarization. For Task 1, we combine LLM-based data augmentation, DeBERTa classification, and Random Forest regression for structured state prediction. For Task 2, we use...We present DreamerNLplus, a hybrid framework for modeling mental health dynamics from social media timelines in the CLPsych 2026 shared task. Our system addresses three tasks: psychological state modeling, temporal change detection, and sequence-level summarization. For Task 1, we combine LLM-based data augmentation, DeBERTa classification, and Random Forest regression for structured state prediction. For Task 2, we use...
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Towards a General Intelligence and Interface for Wearable Health DataTowards a General Intelligence and Interface for Wearable Health Data
While ubiquitous wearable sensors capture a wealth of behavioral and physiological information, effectively transforming these signals into personalized health insights is challenging. Specifically, converting low-level sensor data into representations capable of characterizing higher-level states is difficult due to high phenotypic diversity and variation in individual baseline health, physiology, and lifestyle factors....While ubiquitous wearable sensors capture a wealth of behavioral and physiological information, effectively transforming these signals into personalized health insights is challenging. Specifically, converting low-level sensor data into representations capable of characterizing higher-level states is difficult due to high phenotypic diversity and variation in individual baseline health, physiology, and lifestyle factors....
Relevant to MAC-Lab's psychological computing route: it connects AI models with assessment, risk identification, and human-centered support.对应 MAC-Lab 的心理计算路线：把 AI 模型与评估、风险识别和以人为中心的支持连接起来。
Latest 15 Papers - May 20, 2026Latest 15 Papers - May 20, 2026
**Please check the [Github](https://github.com/Ed1sonChen/DailyArxiv) page for a better reading experience and more papers.** ## Vision Language Action | **Title** | **Date** | **Comment** | | --- | --- | --- | | **[Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Mani Last30Days signal for embodied emotional intelligence robot emotion, surfaced from GitHub public activity in the latest 30-day window.**Please check the [Github](https://github.com/Ed1sonChen/DailyArxiv) page for a better reading experience and more papers.** ## Vision Language Action | **Title** | **Date** | **Comment** | | --- | --- | --- | | **[Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Mani Last30Days signal for embodied emotional intelligence robot emotion, surfaced from GitHub public activity in the latest 30-day window.
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Multimodal Emotion Recognition with Large Language ModelsMultimodal Emotion Recognition with Large Language Models
Multimodal Emotion Recognition (MER) focuses on identifying and interpreting emotions from modality-compound inputs. Closely mirroring human cognitive processes in real-world environments, MER has drawn substantial attention from both academia and industry. Recently, a paradigm shift has been unveiled in MER, from leveraging small-scale, task-specific models to Large Language Models (LLMs). We refer to the latter as the...Multimodal Emotion Recognition (MER) focuses on identifying and interpreting emotions from modality-compound inputs. Closely mirroring human cognitive processes in real-world environments, MER has drawn substantial attention from both academia and industry. Recently, a paradigm shift has been unveiled in MER, from leveraging small-scale, task-specific models to Large Language Models (LLMs). We refer to the latter as the...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion RecognitionLeveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition
Multimodal Emotion Recognition in Conversations (MERC) is a crucial task for understanding human interactions, where multimodal approaches integrating language, facial expressions, and vocal tone have achieved significant progress. However, modality misalignment and imbalanced learning remain major challenges, limiting the effective utilization of multimodal information. To address this issue, we propose a plug-and-play...Multimodal Emotion Recognition in Conversations (MERC) is a crucial task for understanding human interactions, where multimodal approaches integrating language, facial expressions, and vocal tone have achieved significant progress. However, modality misalignment and imbalanced learning remain major challenges, limiting the effective utilization of multimodal information. To address this issue, we propose a plug-and-play...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Building Arabic NLP from the Ground Up: Twenty Years of Lessons, Failures, and Open ProblemsBuilding Arabic NLP from the Ground Up: Twenty Years of Lessons, Failures, and Open Problems
This paper reflects on twenty years of building NLP resources and research infrastructure for Arabic, a language spoken by hundreds of millions yet historically underserved relative to languages such as English or Chinese. The first decade focused on foundational linguistic infrastructure; the second shifted toward computational social science, social media analysis, and socially oriented applications. Rather than cataloguing...This paper reflects on twenty years of building NLP resources and research infrastructure for Arabic, a language spoken by hundreds of millions yet historically underserved relative to languages such as English or Chinese. The first decade focused on foundational linguistic infrastructure; the second shifted toward computational social science, social media analysis, and socially oriented applications. Rather than cataloguing...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
I/O 2026: Welcome to the agentic Gemini eraI/O 2026: Welcome to the agentic Gemini era
Selected from Google AI's public feed for its relevance to AI Research and applied AI systems.来自 Google AI 公开订阅源，内容与 AI Research 及应用型 AI 系统建设相关。
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
Justin Solomon appointed associate dean of engineering educationJustin Solomon appointed associate dean of engineering education
MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
AffectVerse: Emotional World Models for Multimodal Affective ComputingAffectVerse: Emotional World Models for Multimodal Affective Computing
Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, often treat emotion recognition as static fusion over complete audiovisual-text inputs, leaving affective dynamics implicit. We propose AffectVerse, a Qwen2.5-Omni-based model equipped with an Emotion World Module (EWM), an action-free...Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, often treat emotion recognition as static fusion over complete audiovisual-text inputs, leaving affective dynamics implicit. We propose AffectVerse, a Qwen2.5-Omni-based model equipped with an Emotion World Module (EWM), an action-free...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
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```Python CUE_CARDS = [ { "num": 56, "topic": "Describe a time when someone apologized to you", "category": "Experiences / Relationships", "cue_points": [ "Who apologized to you", "Why they apologized", "Where it happened", ... ```Python CUE_CARDS = [ { "num": 66, "topic": "Describe a great dinner with family or friends", "category": "Experiences / Food",... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from GitHub public activity in the latest 30-day window.```Python CUE_CARDS = [ { "num": 56, "topic": "Describe a time when someone apologized to you", "category": "Experiences / Relationships", "cue_points": [ "Who apologized to you", "Why they apologized", "Where it happened", ... ```Python CUE_CARDS = [ { "num": 66, "topic": "Describe a great dinner with family or friends", "category": "Experiences / Food",... Last30Days signal for empathetic dialogue emotional support chatbot, surfaced from GitHub public activity in the latest 30-day window.
Relevant to emotional support agents: it connects affective NLP, dialogue safety, counseling interaction, and long-term companionship.对应情感支持智能体：连接情感 NLP、对话安全、咨询交互和长期陪伴能力。
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media DataFedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
Social media text data are often used to train Machine Learning (ML) models to identify users exhibiting high-risk mental health behaviors. However, sharing this sensitive data poses privacy risks and limits the growth of benchmark datasets. We comprehensively evaluate whether privacy-preserving ML techniques can enable safer data sharing while preserving performance. Specifically, we apply federated learning (FL) and...Social media text data are often used to train Machine Learning (ML) models to identify users exhibiting high-risk mental health behaviors. However, sharing this sensitive data poses privacy risks and limits the growth of benchmark datasets. We comprehensively evaluate whether privacy-preserving ML techniques can enable safer data sharing while preserving performance. Specifically, we apply federated learning (FL) and...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation TrainingAn Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
This paper presents an interpretable closed-loop Intelligent Tutoring System (ITS) that supports feedback-guided practice for developing on-camera oral presentation skills at scale. The system operationalizes a seven-dimensional Behaviorally Anchored Rating Scale (BARS) and implements a three-layer interpretable feedback architecture that connects rubric-aligned multimodal scoring, audience-perceived expressive diagnostics,...This paper presents an interpretable closed-loop Intelligent Tutoring System (ITS) that supports feedback-guided practice for developing on-camera oral presentation skills at scale. The system operationalizes a seven-dimensional Behaviorally Anchored Rating Scale (BARS) and implements a three-layer interpretable feedback architecture that connects rubric-aligned multimodal scoring, audience-perceived expressive diagnostics,...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion RecognitionNavigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition
Multimodal emotion recognition aims to integrate text, audio, and video sources to understand human affective states. Although multimodal large language models excel at multimodal reasoning, they typically treat emotion categories as independent labels, ignoring the rich hierarchical taxonomy of human psychology. Moreover, lacking external contextual knowledge makes them highly susceptible to over-interpreting noisy cues,...Multimodal emotion recognition aims to integrate text, audio, and video sources to understand human affective states. Although multimodal large language models excel at multimodal reasoning, they typically treat emotion categories as independent labels, ignoring the rich hierarchical taxonomy of human psychology. Moreover, lacking external contextual knowledge makes them highly susceptible to over-interpreting noisy cues,...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
I believe there are entire companies right now under AI psychosisI believe there are entire companies right now under AI psychosis
I believe there are entire companies right now under AI psychosis Last30Days signal for AI mental health digital wellbeing, surfaced from Hacker News public activity in the latest 30-day window.I believe there are entire companies right now under AI psychosis Last30Days signal for AI mental health digital wellbeing, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
Further Notes on Our Recent Research on AI Delegation and Long-Horizon ReliabilityFurther Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability
Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows. We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim. The research aims to develop robust evaluation methods for long-horizon...Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows. We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim. The research aims to develop robust evaluation methods for long-horizon...
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
Designing for Robot Wranglers: A Synthesis of Literature and PracticeDesigning for Robot Wranglers: A Synthesis of Literature and Practice
Robots are increasingly present in human spaces, such as for conducting deliveries in hospitals, interacting with visitors at museums, and stocking items in warehouses. To ensure the seamless integration of robots into these spaces, a new role in human-robot interaction is emerging - the robot wrangler, namely an individual who is responsible for setting up, overseeing, and troubleshooting the robot. To understand the needs...Robots are increasingly present in human spaces, such as for conducting deliveries in hospitals, interacting with visitors at museums, and stocking items in warehouses. To ensure the seamless integration of robots into these spaces, a new role in human-robot interaction is emerging - the robot wrangler, namely an individual who is responsible for setting up, overseeing, and troubleshooting the robot. To understand the needs...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Let Robots Feel Your Touch: Visuo-Tactile Cortical Alignment for Embodied Mirror ResonanceLet Robots Feel Your Touch: Visuo-Tactile Cortical Alignment for Embodied Mirror Resonance
Observing touch on another's body can elicit corresponding tactile sensations in the observer, a phenomenon termed mirror touch that supports empathy and social perception. This visuo-tactile resonance is thought to rely on structural correspondence between visual and somatosensory cortices, yet robotic systems lack computational frameworks that instantiate this principle. Here we demonstrate that cortical correspondence can...Observing touch on another's body can elicit corresponding tactile sensations in the observer, a phenomenon termed mirror touch that supports empathy and social perception. This visuo-tactile resonance is thought to rely on structural correspondence between visual and somatosensory cortices, yet robotic systems lack computational frameworks that instantiate this principle. Here we demonstrate that cortical correspondence can...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
HQTN-SER: Speech Emotion Recognition with Hybrid Quantum Tensor NetworksHQTN-SER: Speech Emotion Recognition with Hybrid Quantum Tensor Networks
Speech emotion recognition (SER) remains fragile in real-world conditions because emotional cues are subtle, speaker-dependent, and easily confounded by recording variability, while high-performing deep models typically rely on large and carefully curated training sets. Quantum machine learning offers an alternative way to introduce nonlinear correlation modeling with compact modules, yet existing quantum SER studies remain...Speech emotion recognition (SER) remains fragile in real-world conditions because emotional cues are subtle, speaker-dependent, and easily confounded by recording variability, while high-performing deep models typically rely on large and carefully curated training sets. Quantum machine learning offers an alternative way to introduce nonlinear correlation modeling with compact modules, yet existing quantum SER studies remain...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
An Agentic LLM-Based Framework for Population-Scale Mental Health ScreeningAn Agentic LLM-Based Framework for Population-Scale Mental Health Screening
Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical data generated from electronic records, telemedicine platforms, and population-level screening programs. At the same time, the emergence of novel AI-based approaches in healthcare calls for intelligent frameworks capable of processing domain-specific unstructured clinical information while adapting...Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical data generated from electronic records, telemedicine platforms, and population-level screening programs. At the same time, the emergence of novel AI-based approaches in healthcare calls for intelligent frameworks capable of processing domain-specific unstructured clinical information while adapting...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
A Multi-Probe Audit of Clinical-Interview Depression Detection BenchmarksA Multi-Probe Audit of Clinical-Interview Depression Detection Benchmarks
This paper audits benchmark evaluation in clinical-interview depression detection through four complementary probes across DAIC/E-DAIC, CMDC, ANDROIDS, MODMA, and PDCH. First, we re-evaluate E-DAIC under strict subject-disjoint leave-one-subject-out cross-validation. A lightweight hybrid text-plus-LLM-score model reaches macro-F1 = 0.723 - the highest reported under this protocol, to our knowledge - providing a conservative...This paper audits benchmark evaluation in clinical-interview depression detection through four complementary probes across DAIC/E-DAIC, CMDC, ANDROIDS, MODMA, and PDCH. First, we re-evaluate E-DAIC under strict subject-disjoint leave-one-subject-out cross-validation. A lightweight hybrid text-plus-LLM-score model reaches macro-F1 = 0.723 - the highest reported under this protocol, to our knowledge - providing a conservative...
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
Phantom Force: Injecting Adversarial Tactile Perceptions into Embodied Intelligence via EMIPhantom Force: Injecting Adversarial Tactile Perceptions into Embodied Intelligence via EMI
Embodied intelligent robots rely on tactile sensors to interact with the physical world safely. While the security of visual perception systems has been studied (e.g., adversarial samples), the integrity of the tactile sensory channel remains unexplored. This work explores a vulnerability in Hall-effect fingertip sensors, showing their susceptibility to intentional Electromagnetic Interference (EMI). We demonstrate that a...Embodied intelligent robots rely on tactile sensors to interact with the physical world safely. While the security of visual perception systems has been studied (e.g., adversarial samples), the integrity of the tactile sensory channel remains unexplored. This work explores a vulnerability in Hall-effect fingertip sensors, showing their susceptibility to intentional Electromagnetic Interference (EMI). We demonstrate that a...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Q&A: Expanding MIT’s global reach through Universal LearningQ&A: Expanding MIT’s global reach through Universal Learning
Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.
Relevant to MAC-Lab's research watch: it helps connect model progress, evaluation practice, and human-centered AI systems.对应实验室前沿观察：帮助连接模型进展、评测实践和以人为中心的 AI 系统。
Mapping Embodied Affective Touch Strategies on a Humanoid RobotMapping Embodied Affective Touch Strategies on a Humanoid Robot
Affective touch in human-robot interaction is shaped not only by emotional intent, but also by robot embodiment, including touch location, physical constraints, and perceived agency or social role. Existing HRI studies typically focus on one or two isolated body parts, limiting understanding of how affective touch generalises across the full humanoid body. We present a study with 32 participants interacting with the iCub...Affective touch in human-robot interaction is shaped not only by emotional intent, but also by robot embodiment, including touch location, physical constraints, and perceived agency or social role. Existing HRI studies typically focus on one or two isolated body parts, limiting understanding of how affective touch generalises across the full humanoid body. We present a study with 32 participants interacting with the iCub...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Emotional Expression in Low-Degrees-of-Freedom Robots: Assessing Perception with Reachy MiniEmotional Expression in Low-Degrees-of-Freedom Robots: Assessing Perception with Reachy Mini
Emotion expression is central to human--robot interaction, yet little is known about how people interpret affect on robots with sparse, non-anthropomorphic expressive capabilities. This study examined how people perceive emotional expressions displayed by Reachy Mini (Pollen Robotics and Hugging Face), a low-degree-of-freedom (low-DoF) robot with a constrained and distinctly non-human expressive repertoire. In an online...Emotion expression is central to human--robot interaction, yet little is known about how people interpret affect on robots with sparse, non-anthropomorphic expressive capabilities. This study examined how people perceive emotional expressions displayed by Reachy Mini (Pollen Robotics and Hugging Face), a low-degree-of-freedom (low-DoF) robot with a constrained and distinctly non-human expressive repertoire. In an online...
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Gemini API File Search is now multimodalGemini API File Search is now multimodal
Gemini API File Search is now multimodal Last30Days signal for multimodal affective computing speech emotion, surfaced from Hacker News public activity in the latest 30-day window.Gemini API File Search is now multimodal Last30Days signal for multimodal affective computing speech emotion, surfaced from Hacker News public activity in the latest 30-day window.
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Multimodal Emotion Recognition via Causal-Diffusion Bridge (Affect-Diff)Multimodal Emotion Recognition via Causal-Diffusion Bridge (Affect-Diff)
Multimodal emotion recognition on CMU-MOSEI faces an extreme imbalance as Happy accounts for 65.9% of samples while three Ekman categories collectively represent under 7%, causing standard fusion models to maximize accuracy by ignoring minority emotions entirely. We present Affect-Diff, a Causal-Diffusion Bridge that addresses this through three jointly trained mechanisms: a NOTEARS-learned causal graph that re-weights...Multimodal emotion recognition on CMU-MOSEI faces an extreme imbalance as Happy accounts for 65.9% of samples while three Ekman categories collectively represent under 7%, causing standard fusion models to maximize accuracy by ignoring minority emotions entirely. We present Affect-Diff, a Causal-Diffusion Bridge that addresses this through three jointly trained mechanisms: a NOTEARS-learned causal graph that re-weights...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
Modality-Aware Contrastive and Uncertainty-Regularized Emotion RecognitionModality-Aware Contrastive and Uncertainty-Regularized Emotion Recognition
Multimodal Emotion Recognition (MER) has attracted growing attention with the rapid advancement of human-computer interaction. However, different modalities exhibit substantial discrepancies in semantics, quality, and availability, leading to highly heterogeneous modality combinations and posing significant challenges to achieving consistent and reliable emotion understanding. To address this challenge, we propose the...Multimodal Emotion Recognition (MER) has attracted growing attention with the rapid advancement of human-computer interaction. However, different modalities exhibit substantial discrepancies in semantics, quality, and availability, leading to highly heterogeneous modality combinations and posing significant challenges to achieving consistent and reliable emotion understanding. To address this challenge, we propose the...
Relevant to MAC-Lab's original multimedia affective computing identity: it connects speech, vision, behavior, physiology, and context.对应 MAC-Lab 多模态情感计算本源：连接语音、视觉、行为、生理与场景信息。
MAC-Lab Official Website Released实验室主页发布：sxhfut.github.io
The new bilingual MAC-Lab website presents research directions, industry solutions, academic impact, lab news, frontier sharing, media coverage, student training, and collaboration channels.实验室主页 sxhfut.github.io 正式发布，集中呈现研究方向、行业方案、学术影响、实验室新闻、前沿分享、媒体关注、团队培养与合作入口。
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
CausalSymptom Accepted by IEEE Transactions on Affective Computing与中国科学技术大学联合研究成果被 TAC 录用
CausalSymptom studies causal disentangled representation learning for depression severity estimation from transcribed clinical interviews, connecting clinical dialogue, interpretability, and psychological computing.CausalSymptom 面向临床访谈文本中的抑郁严重程度估计，研究因果解耦表示学习，连接临床对话、可解释建模与心理计算。
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Multiturn Dialogue Work Accepted by IEEE Transactions on Artificial Intelligence多轮对话研究被 IEEE Transactions on Artificial Intelligence 录用
The accepted work models latent background information in multi-turn dialogues using diffusion models, strengthening the lab's route in dialogue understanding and affective interaction.该论文利用扩散模型建模多轮对话中的潜在背景信息，支撑团队在对话理解、背景推理与情感交互方向的持续积累。
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
ERMoV Accepted by IEEE Transactions on Affective ComputingERMoV 对话情绪识别研究被 TAC 录用
ERMoV models affective mental states through emotion regulation for dialogue emotion recognition, continuing the lab's long-term work from affective dialogue to psychological-state modeling.ERMoV 通过情绪调节机制建模情感心理状态，用于对话情绪识别，延续团队从情感对话走向心理状态建模的研究主线。
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Decoding Emotion, Empowering Mind-Body Health解码情感，智惠身心
External coverage frames Professor Xiao Sun's team as a long-term builder of embodied emotional interaction models, linking affective robots, Chinese emotional resources, Ubiquitous Psychological Computing, EmoAda, PsyCoLLM, and embodied emotional intelligence.外部报道以“具身情感交互大模型突破之路”为主线，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 与具身情感智能的长期建设。
Relevant to embodied emotional intelligence: it informs robots, digital humans, smart cockpits, and situated emotional interaction.对应具身情感智能：服务机器人、数字人、智能座舱和场景化情感交互。
Multimodal Affective Computing and Intervention Technology Wins Silver Award普适场景多模态情感计算与干预技术获国际发明展银奖
MAC-Lab's multimodal affective computing and intervention technology for ubiquitous scenarios won a silver award at the 11th International Exhibition of Inventions and BRICS skills-development and technology-innovation competition.实验室“普适场景中的多模态情感计算与干预技术”在第十一届国际发明展览会·“一带一路”暨金砖国家技能发展与技术创新大赛中获得银奖。
Relevant to ubiquitous psychological computing: it supports continuous sensing, psychological profiling, early warning, and real-world intervention.对应普适心理计算：支撑连续感知、心理画像、早期预警和真实场景干预。
UniEmoX Published in IEEE Transactions on Image ProcessingUniEmoX 发表在 IEEE Transactions on Image Processing
The student-guided work UniEmoX studies cross-modal semantic-guided large-scale pretraining for universal scene emotion perception, strengthening the lab's publication portfolio in affective visual intelligence.指导论文 UniEmoX 面向通用场景情绪感知与跨模态语义预训练，发表于 CCF A 类期刊 IEEE Transactions on Image Processing。
Relevant to the lab's affective-computing foundation: it strengthens emotion perception, affective semantics, and interaction understanding.对应实验室情感计算根基：强化情绪感知、情感语义和交互理解能力。
Lab Contributes to a Group Standard for Healthy Residential Environments实验室参编健康住区环境保障智能系统设计技术导则
The lab's human-factor affective computing technology entered standardization work for intelligent systems supporting healthy residential environments.实验室普适场景人因情感计算技术应用于健康住区环境身心表征与保障，参与编写相关团体标准。
Relevant to mind-body health platforms: it can inform screening, monitoring, intervention, and deployable mental-care systems.对应 AI 身心健康平台：可为筛查、监测、干预和可部署心理关护系统提供参考。
Try another keyword, switch filters, or check back after the next scheduled update.可以换一个关键词、切换筛选条件，或等待下一次定时更新。