😊 机器人情感表达/HRI 行业新闻

Emotion shapes how viewers interpret a scene, yet existing video generators entangle global atmosphere, affect-bearing semantic cues, and temporal progression within a single text condition. We presen...

情感决定了观众如何理解视频场景，但现有的视频生成器通常将全局氛围、带有情感的语义线索和时间进度纠缠在单一的文本条件中。该研究提出了EmoWorld，通过解耦情感场来实现更可控的情感视频生成。

This paper focuses on automatic speech recognition (ASR) and ASR-mediated voice interfaces that shape access to public services, healthcare, and education. We argue that persistent failures for low-re...

本文关注自动语音识别（ASR）及基于ASR的语音接口在公共服务、医疗和教育领域的应用。研究指出当前的ASR系统在处理低资源语言和少数族裔口音时经常失败，并提出了一种旨在提升跨文化理解能力的语音AI框架。

Conversational commerce uses digital assistants to support the search process and decision-making in e-commerce. Effective communication in these interactions can be facilitated by assistants adapting...

对话式电商通过数字助手辅助用户的搜索和决策。研究表明，当数字助手能够适应用户的知识水平（如区分数码小白和发烧友）并调整沟通策略时，能有效提升交互效率和用户的感知体验。

We demonstrate Cleo, a transparent and controllable conversational product advisor that addresses the challenges of opacity, unpredictability of LLMs, and the complexity of comparisons in conversation...

研究团队展示了名为Cleo的对话式导购机器人。它专门针对LLM不透明和不可预测的挑战，以及对话中复杂的商品比较场景，提供了一个透明且完全可控的解决方案，提升了导购的可靠性。

To address the limitations of video-based emotion recognition under ambiguous or socially masked behavioral cues, as well as the poor deployability of physiological signals, this paper proposes a reli...

针对基于视频的情感识别在面对模糊或社交掩饰行为时的局限性，以及生理信号（如脑电、心率）设备部署成本高的问题，本文提出了一种可靠性门控机制。该机制将生理信号中的情感知识“蒸馏”到视频模型中，提升识别效果且易于部署。

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in emotional intelligence. However, prevailing research predominantly focuses on task-specific specialization, often ...

多模态大语言模型（MLLMs）在情商方面展现出强大能力，但现有研究多聚焦于单一任务。该研究提出了OneEmo，一个统一的多模态情感推理模型，解决了以往方法在处理不同情感任务时缺乏泛化能力的问题。

Mental health professionals have raised concerns about risks of psychological harm from interaction with large language models (LLMs), including "delusional spirals" in which concerning human and LLM ...

心理健康专业人士对大语言模型（LLM）可能造成的心理伤害表示担忧，例如人类与LLM交互可能引发的“妄想螺旋”。该研究提出了DelusionEval，旨在测量和评估AI聊天机器人中可能诱发或加重这种心理风险的行为模式。

The development of AI systems capable of emotionally resonant communication remains a significant challenge. This study examines how humans influence emotions in social deception games by comparing pr...

开发能够产生情感共鸣的 AI 系统是一项挑战。本研究通过对比职业与非职业玩家在狼人杀游戏中的皮肤电活动（EDA），分析了人类在欺骗环境下的情绪影响机制。

Recognizing the temporal order of overlapping sounds is an underexplored challenge in human-robot interaction (HRI), with direct relevance to applications such as first responder detection systems. Th...

识别重叠声音的时间顺序是人机交互（HRI）中的难点，对急救人员检测系统等应用具有直接影响。本研究提出了一种实时识别的深度学习方案。

Assessing children's wellbeing and mental health can be particularly challenging for children experiencing communication barriers, such as children with Developmental Language Disorder (DLD) and child...

评估存在沟通障碍（如发育性语言障碍儿童 DLD 和被迫迁徙儿童）的身心健康极具挑战。本研究探讨了社交机器人在此类场景下的设计思路。

Large language models routinely describe socially salient targets, including political figures, countries, religions, organizations, historical events, and social groups, encoding affective framing al...

大语言模型在描述政治人物、国家、宗教等社会实体时，经常会编码出特定的情感倾向。VIBE 基准专门用于评测 LLM 输出内容中这种潜在的情感框架。

Multimodal Sentiment Analysis (MSA) integrates text, audio, and vision to infer human affect, yet real-world multimodal observations are often incomplete. Existing methods for incomplete-observation M...

多模态情感分析（MSA）通常融合文本、音频和视觉来推断人类情感，但现实中的多模态观测往往是不完整的。本研究提出了一种新方法以重新评估模态可靠性。

Sonic seasoning research has shown that listeners attribute systematic gustatory and emotional meaning to sound, and text-to-music generative artificial intelligence has recently been used to render g...

声学调味研究表明，听众会系统性地赋予声音以味觉和情感意义。本研究探讨了 AI 音乐生成模型在跨文化背景下，运用这一原理生成的音乐的感知效果。

Automated pain assessment in real clinics is limited by scarce clinically grounded facial video data with weak labels (often sequence-level self-report) and by the fact that pain cues can be subtle or...

真实门诊中的自动疼痛评估受限于临床面部视频数据匮乏及标签模糊。本研究提出 ReMiX-MAE 模型，仅通过普通 RGB 视频即可评估疼痛程度。

Language models have taken on the role of a very new type of technology, by virtue of their "human-ness" and rapid integration into users' daily lives. This combination of features can introduce longi...

语言模型凭借其拟人化特征和快速融入日常生活的特点，承担起了一种全新技术角色。这种特性可能会引入需要长期追踪才能观察到的纵向影响。

The growing global demand for mental health support increasingly exceeds the supply of qualified practitioners, creating an urgent need for scalable digital interventions that can deliver meaningful e...

随着全球心理健康需求的激增，数字干预措施变得极为重要。本系统结合多模态 AR 与大语言模型，并具备自发性幽默功能，以支持自我依恋心理治疗。

This work presents a human-centered collaborative framework that integrates Preference-Based Optimization (PBO) and Dynamic Movement Primitives (DMPs) to optimize robot-assisted tasks such as painting...

本研究提出了一种以人为中心的协作框架，结合基于偏好的优化（PBO）和动态运动原语，以优化机器人辅助绘画等任务。

Persuasive technologies increasingly use virtual agents to influence attitudes and behavior, but research has focused mainly on humanoid agents. The persuasive design of non-humanoid, quadruped agents...

说服技术常使用虚拟智能体来影响行为，但大多聚焦于人形智能体。本研究探讨了非人形、四足智能体的说服力设计模式。

The rise of conversational AI has increased interest in emotional Text-to-Speech (TTS). Most systems rely on discrete emotion labels, which fail to capture the nuanced nature of human affect. Recent m...

现有的情感文本转语音（TTS）系统多依赖离散情绪标签，难以捕捉人类情感的细微差别。本研究提出构建个性化、适应不同文化背景的连续情绪感知空间。

Research on AI-mediated communication has examined how AI assistance shapes interpersonal perceptions and reduces stylistic diversity across users. We ask a complementary question at the individual le...

AI 中介沟通的研究大多聚焦于人际感知和风格趋同，本研究从个人层面提出了一个补充问题：AI 的介入在多大程度上抹杀了用户个人的表达特质。

Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a benchmark for inferring whether two people are already familiar or are meeting as strangers, from a 2...

判断社交场景往往依赖行为而非语言。研究提出 FriendBench 基准，旨在从两人交互视频中推断他们是熟人还是初次见面的陌生人。

Early detection of mild cognitive impairment (MCI) is an important challenge in aging societies. Electroencephalography (EEG) and eye-tracking have independently been explored as potential biomarkers;...

早期发现轻度认知障碍（MCI）是老龄化社会的重要挑战。脑电图（EEG）和眼动追踪已被独立探索为潜在的生物标志物，本研究尝试将两者结合。

As large language model (LLM) agents evolve into personalized companions, memory has emerged as a core capability. However, LLMs face a knowledge utilization problem: they may fail to act on relevant ...

随着 LLM Agent 进化为个性化伴侣，记忆已成为核心能力。然而，LLM 面临着知识利用难题：它们可能无法根据记忆中相关的用户背景采取行动。

Conversational AI developed by geopolitical rivals reaches citizens worldwide, raising concerns that it could sway public opinion or be rejected as foreign propaganda, with consequences for democratic...

由地缘政治对手开发的对话式 AI 正走向全球公民，引发了人们对它可能影响公众舆论或被作为外国宣传拒绝的担忧。

PolyAI has introduced Dialog-RSN-1, a dialog model that perceives caller audio directly instead of reading an ASR transcript. It fuses turn-taking, speech recognition, function calling, and response g...

PolyAI 推出的 Dialog-RSN-1 对话模型不再依赖传统的 ASR 转录文本，而是直接感知呼叫者的原生音频。它将话轮转换、语音识别、函数调用和响应生成融为一体。

Generative UI (GenUI) lets large language models synthesize a complete, renderable interface directly from a natural-language instruction, but evaluating the quality of what they generate remains an o...

生成式 UI 允许大语言模型直接从自然语言指令合成可渲染的完整界面，但评估生成质量仍具挑战。本研究提出通过模拟多角色社交面板来进行评估。

Continuous emotional arousal quantification remains bottlenecked by time-consuming and labor-intensive manual annotation. This work investigates group-level EEG dynamic neural synchrony (DNS) as a pri...

连续情绪唤醒量化一直受制于耗时且费力的手动标注。本研究探讨了将群体脑电图（EEG）动态神经同步作为先验，以减少对人工标注的依赖。

Depression is a major mental disorder for which diagnosis relies primarily on clinical assessments. Automated methods to support its detection via the psychiatric MADRS scale are getting more and more...

抑郁症的诊断目前主要依赖临床评估。通过精神病学 MADRS 量表来支持抑郁症自动化检测的方法正变得越来越普遍。

Researchers pitted a person against a Claude agent and found that, after a week of texting, the AI chatbot was more effective at creating “exploitable trust” with others.

研究人员让真人与 Claude AI 智能体进行了一周的短信交流，结果发现 AI 机器人更善于与他人建立“可利用的信任”。

Perceiving human motion and intent at long range is a prerequisite for socially intelligent aerial robots, yet the data to learn it barely exists. We introduce Drones2BodyLanguage, a dataset grounding...

感知长距离的人类动作和意图是社交智能飞行机器人的先决条件。为此，研究团队引入了 Drones2BodyLanguage 数据集，用于填补该领域训练数据的空白。

Emotional dialogue research includes two influential strategy traditions. Empathetic dialogue prioritizes understanding a speaker's emotional experience. Emotional support conversation selects and seq...

情感对话研究涵盖共情对话和情感支持对话两大策略。本研究提出了一种名为“能力维持情感对话”的全新纵向研究范式。