心理健康问题危机正在加剧。有效的咨询是PTSD、压力等疾病患者的关键生命线。治疗师与来访者建立重要的治疗联结，引导他们走向积极。遗憾的是，专业人员严重短缺、成本高昂以及心理健康污名化，构成了咨询治疗师的重大障碍。作为替代，虚拟心理健康助手（Virtual Mental Health Assistants，VMHAs）已出现在数字医疗领域。然而，现有大多数VMHA缺乏理解来访者细微情感以生成有效回复的常识。为此，我们提出EmpRes，这是一种融合常识感知的新型情感引导机制，用于生成回复。通过利用基础模型并借助常识知识，EmpRes旨在生成能够有效塑造来访者情感并使其趋向积极的回复。我们在基准咨询数据集HOPE上评估EmpRes的性能，并观察到，与现有基线相比，其在一系列定性和定量指标上均取得显著性能提升。此外，大量实证分析和人工评估表明，EmpRes的生成能力非常适配，且在某些情况下超过黄金标准。进一步地，我们将EmpRes部署为面向寻求心理健康支持用户的聊天界面。我们通过详尽的用户研究考察所部署系统的有效性，并获得显著积极的反馈。研究结果显示，91%的用户认为该系统有效，80%表示满意，超过85.45%表示愿意继续使用该界面并将其推荐给他人，证明EmpRes在应对心理健康支持紧迫挑战方面具有实际适用性，并在真实环境中强调用户反馈与伦理考量。
英文摘要：
The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeline for individuals suffering from conditions like PTSD, stress, etc. Therapists forge a crucial therapeutic bond with clients, steering them towards positivity. Unfortunately, the massive shortage of professionals, high costs, and mental health stigma pose significant barriers to consulting therapists. As a substitute, Virtual Mental Health Assistants (VMHAs) have emerged in the digital healthcare space. However, most existing VMHAs lack the commonsense to understand the nuanced sentiments of clients to generate effective responses. To this end, we propose EmpRes, a novel sentiment-guided mechanism incorporating commonsense awareness for generating responses. By leveraging foundation models and harnessing commonsense knowledge, EmpRes aims to generate responses that effectively shape the client's sentiment towards positivity. We evaluate the performance of EmpRes on HOPE, a benchmark counseling dataset, and observe a remarkable performance improvement compared to the existing baselines across a suite of qualitative and quantitative metrics. Moreover, our extensive empirical analysis and human evaluation show that the generation ability of EmpRes is well-suited and, in some cases, surpasses the gold standard. Further, we deploy EmpRes as a chat interface for users seeking mental health support. We address the deployed system's effectiveness through an exhaustive user study with a significant positive response. Our findings show that 91% of users find the system effective, 80% express satisfaction, and over 85.45% convey a willingness to continue using the interface and recommend it to others, demonstrating the practical applicability of EmpRes in addressing the pressing challenges of mental health support, emphasizing user feedback, and ethical considerations in a real-world context.
ChatCounselor: A Large Language Models for Mental Health Support
Hong Kong University（香港大学）；Hong Kong University of Science and Technology（香港科技大学）；The International Digital Economy Academy (IDEA)（国际数字经济研究院（IDEA））；Ohio State University（俄亥俄州立大学）
Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
College of Computer Science and Software Engineering, Shenzhen University（深圳大学计算机科学与软件工程学院）；Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)（广东省人工智能与数字经济发展实验室）；SKL-IOTSC, CIS, University of Macau（澳门科学馆物联网与智慧城市研究中心）；Shandong University（山东大学）；Auckland University of Technology（技术大学（奥克兰））；University of Electronic Science and Technology of China（电子科技大学）
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Indian Institute of Technology Delhi（印度理工学院德里分校）；Indraprastha Institute of Information Technology Delhi（英德拉普拉斯塔信息技术学院）；YourDOST；All India Institute of Medical Sciences, Rishikesh（全印医学科学学院里希盖什分校）；All India Institute of Medical Sciences, New Delhi（全印医学科学学院新德里分校）
MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions
Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science and Hessian Center for AI (hessian.AI), Technische Universität Darmstadt（德累斯顿技术大学计算机科学系、普遍知识处理实验室（UKP Lab）、黑森人工智能中心（hessian.AI））；National Research Center for Applied Cybersecurity ATHENE, Germany（应用网络安全国家研究中心ATHENE，德国）；Department of Electrical Engineering, Indian Institute of Technology Delhi, India（印度德里印度理工学院电气工程系）；Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, India（印度德里印度理工学院人工智能学院）
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration
Ahsanullah University of Science and Technology（阿山努拉科技大学）；Bangladesh University of Business and Technology（孟加拉国商业与技术大学）；The University of New South Wales（新南威尔士大学）；Jashore University of Science and Technology（贾绍尔科技大学）；American International University - Bangladesh（孟加拉国美国国际大学）
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
School of Future Technology, South China University of Technology（华南理工大学未来技术学院）；School of Electronic and Information Engineering, South China University of Technology（华南理工大学电子与信息工程学院）；Pazhou Lab（琶洲实验室）
Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback
Central South University（中南大学）；CoAI Group（CoAI小组）；DCST（国防科学技术大学）；IAI（人工智能院）；BNRIST（北京航空航天大学）；Tsinghua University（清华大学）；Lingxin AI（灵犀AI）；Fuxi AI Lab（伏羲AI实验室）；NetEase Inc.（网易公司）
Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues
The University of Electro-Communications（电气通信大学）；iDEAR Human Support Service（iDEAR人文支持服务）；Japanese Organization of Mental Health and Educational Agencies（日本心理健康与教育机构组织）
UKP Lab, Department of Computer Science and Hessian Center for AI (hessian.AI), Technische Universität Darmstadt（德国达姆施塔特技术大学UKP实验室、计算机科学系和海森人工智能中心（hessian.AI））；Zuse School ELIZA（Zuse学院ELIZA）；National Research Center for Applied Cybersecurity ATHENE（应用网络安全国家研究中心ATHENE）；Indian Institute of Technology Delhi（印度德里理工学院）；Yardi School of Artificial Intelligence（Yardi人工智能学院）；University of Louisville（路易斯维尔大学）；University of Toledo（托莱多大学）
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support
Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心）；Tsinghua University（清华大学）；Tsinghua-Berkeley Shenzhen Institute（清华-伯克利深圳学院）；Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）
CARE: An Explainable Computational Framework for Assessing Client-Perceived Therapeutic Alliance Using Large Language Models
Zhejiang University（浙江大学）；Westlake University（西湖大学）；Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University（心理系，金恒毅教育学院，杭州师范大学）
MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models
Department of Artificial Intelligence, Hanyang University（翰艺大学人工智能系）；School of Computing and Information Systems, Singapore Management University（新加坡国立管理学院信息系）
DELTA: Deliberative Multi-Agent Reasoning with Reinforcement Learning for Multimodal Psychological Counseling
Anhui University（安徽大学）；Hefei University of Technology（合肥工业大学）；Institute of Artificial Intelligence, Hefei Comprehensive National Science Center（合肥综合国家科学中心人工智能研究所）
Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence
SJTU Paris Elite Institute of Technology（上海交通大学巴黎精英理工学院）；X-LANCE Lab（X-LANCE实验室）；School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院）；School of Computer Science and Engineering, Northeastern University（东北大学计算机科学与工程学院）；School of Computing and Information Systems, Singapore Management University（新加坡管理大学计算机与信息系统学院）
CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration
Beijing Institute of Technology（北京理工大学）；Singapore Management University（新加坡管理大学）；Australian National University（澳大利亚国立大学）；National Institute of Education（教育学院）；Singapore University of Social Sciences（新加坡社科大学）；National University of Singapore（新加坡国立大学）
EmoStage: A Framework for Accurate Empathetic Response Generation via Perspective-Taking and Phase Recognition
The University of Electro-Communications（电气通信大学）；iDEAR Human Support Service（iDEAR人类支持服务）；Japanese Organization of Mental Health and Educational Agencies（日本心理健康与教育机构组织）
Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals
Sorbonne Université（索邦大学）；Institut du Cerveau - Paris Brain Institute - ICM（巴黎脑科学院）；CNRS（法国国家科学研究中心）；Inria（法国国家信息与自动化研究所）；Inserm（法国国家健康与医学研究院）；AP-HP（巴黎公立医院集团）；Hôpital de la Pitié Salpêtrière（萨尔佩特里埃医院）；Beijing University of Technology（北京工业大学）；Wuhan University（武汉大学）；Wuhan Mental Health Center（武汉市精神卫生中心）；Wuhan Hospital for Psychotherapy（武汉市心理医院）
Consistent Client Simulation for Motivational Interviewing-based Counseling
Beijing Institute of Technology（北京理工大学）；Singapore Management University（新加坡管理大学）；Australian National University（澳大利亚国立大学）；ThoughtFull；Singapore Institute of Technology（新加坡科技设计大学）；National Institute of Education（新加坡国立教育学院）；Singapore University of Social Sciences（新加坡社科大学）；National University of Singapore（新加坡国立大学）
Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；University of Chinese Academy of Sciences（中国科学院大学）；Institute of Software, Chinese Academy of Sciences（中国科学院软件研究所）；East China Normal University（华东师范大学）；Wuhan Research Institute of Posts and Telecommunications（武汉邮电科学研究院）
DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling
Shanghai Institute of Artificial Intelligence for Education, East China Normal University（上海教育人工智能研究院，东华师范大学）；School of Computer Science and Technology, East China Normal University（计算机科学与技术学院，东华师范大学）；School of Psychology and Cognitive Science, East China Normal University（心理学与认知科学学院，东华师范大学）
PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments
School of Computer Science and Engineering, Central South University（中南大学计算机科学与工程学院）；Lingxin AI（灵心AI）；South China Normal University（华南师范大学）；CoAI Group, DCST, IAI, BNRIST, Tsinghua University（清华人工智能研究院）
