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arXiv 2507.10580cs.CLcs.AIcs.CYcs.HC
面向心理健康支持的离线移动对话代理：通过情感对话和心理文本学习并以学生为中心评估
An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
Department of Electrical Engineering and Computer Science, Indian Institute of Science Education and Research Bhopal（电子工程与计算机科学系，比哈尔印度科学教育与研究中心）
Vimaleswar A, Prabhu Nandan Sahu, Nilesh Kumar Sahu, Haroon R. Lone
Mental health plays a crucial role in the overall well-being of an individual. In recent years, digital platforms have increasingly been used to expand mental health and emotional support. However, there are persistent challenges related to limited user accessibility, internet connectivity, and data privacy, which highlight the need for an offline, smartphone-based solutions. To address these challenges, we propose EmoSApp (Emotional Support App): an entirely offline, smartphone-based conversational app designed to provide mental health and emotional support. EmoSApp leverages a language model, specifically the LLaMA-3.2-1B-Instruct, which is fine-tuned and quantized on a custom-curated ``Knowledge Dataset'' comprising 14,582 mental health QA pairs along with multi-turn conversational data, enabling robust domain expertise and fully on-device inference on resource-constrained smartphones.
Through qualitative evaluation with students and mental health professionals, we demonstrate that EmoSApp has the ability to respond coherently and empathetically, provide relevant suggestions to user's mental health problems, and maintain interactive dialogue. Additionally, quantitative evaluations on nine commonsense and reasoning benchmarks, along with two mental health specific datasets, demonstrate EmoSApp's effectiveness in low-resource settings. By prioritizing on-device deployment and specialized domain-specific adaptation, EmoSApp serves as a blueprint for future innovations in portable, secure, and highly tailored AI-driven mental health support.
Tsinghua University（清华大学）；Beijing Normal University（北京师范大学）
The growing demand for mental health support has highlighted the importance of conversational agents as human supporters worldwide and in China. These agents could increase availability and reduce the relative costs of mental health support. The provided support can be divided into two main types: cognitive and emotional support. Existing work on this topic mainly focuses on constructing agents that adopt Cognitive Behavioral Therapy (CBT) principles. Such agents operate based on pre-defined templates and exercises to provide cognitive support. However, research on emotional support using such…
Pattern Recognition Center, WeChat AI, Tencent Inc（腾讯公司微信人工智能模式识别中心）；University of Chinese Academy of Sciences（中国科学院大学）
Previous researches on dialogue system assessment usually focus on the quality evaluation (e.g. fluency, relevance, etc) of responses generated by the chatbots, which are local and technical metrics. For a chatbot which responds to millions of online users including minors, we argue that it should have a healthy mental tendency in order to avoid the negative psychological impact on them. In this paper, we establish several mental health assessment dimensions for chatbots (depression, anxiety, alcohol addiction, empathy) and introduce the questionnaire-based mental health assessment methods. We…
Massachusetts Institute of Technology（麻省理工学院）；MIT-IBM Watson AI Lab（MIT-IBM沃森人工智能实验室）；Harvard University（哈佛大学）
For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life. Intuitive psychology, the ability to reason about hidden mental variables that drive observable actions, comes naturally to people: even pre-verbal infants can tell agents from objects, expecting agents to act efficiently to achieve goals given constraints. Despite recent interest in machine agents that reason about other agents, it is not clear if such agents learn or hold the core psychology principles that drive human reasoning. Inspired by cogniti…
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice
Euler Institute, Università della Svizzera italiana（欧拉研究所，瑞士大学）；National Institute of Informatics（国家信息研究所）；Brown University（布朗大学）；University of Tübingen（图宾根大学）；Insubria University（因斯布里亚大学）
Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
Department of Computer Science, Stony Brook University（石英布大学计算机科学系）；Oslo Metropolitan University, Oslo Business School（奥斯陆 Metropolitan 大学奥斯陆商学院）；University of Texas at Dallas, Dept. of Psychology（德克萨斯大学达拉斯分校心理学系）
In recent years, Online Social Networks have become an important medium for people who suffer from mental disorders to share moments of hardship, and receive emotional and informational support. In this work, we analyze how discussions in Reddit communities related to mental disorders can help improve the health conditions of their users. Using the emotional tone of users' writing as a proxy for emotional state, we uncover relationships between user interactions and state changes. First, we observe that authors of negative posts often write rosier comments after engaging in discussions, indica…
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
Department of Electrical & Computer Engineering, Princeton University（普林斯顿大学电气与计算机工程系）；Department of Computer Science, Princeton University（普林斯顿大学计算机科学系）；Department of Computer Science & Engineering, University of Michigan（密歇根大学计算机科学与工程系）；Department of Data Science & Engineering, University of Michigan（密歇根大学数据科学与工程系）；Department of Philosophy, Columbia University（哥伦比亚大学哲学系）；AI Lab, Princeton University（普林斯顿大学人工智能实验室）；Chen Frontier Lab for Al and Mental Health, Tianqiao and Chrissy Chen Institute（天桥及克里斯西·陈研究所人工智能与心理健康前沿实验室）；Theta Health Inc.（Theta健康公司）
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）
EiCAP: Beyond Fluency, Probing and Improving Emotional Intelligence in LLMs via Psychologically Grounded Multi-Turn Dialogue
Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University（卡塔尔计算研究所（QCRI），哈马德·本·卡伊夫大学）；University of Illinois Urbana-Champaign (UIUC)（伊利诺伊大学厄巴纳-香槟分校）
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
School of Software Engineering, Beijing University of Technology（北京工业大学软件学院）；School of Nursing, Wuhan University（武汉大学护理学院）；Sorbonne Université（索邦大学）；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（巴黎公共医疗集团）；Hôpital de la Pitié-Salpêtrière（皮蒂-萨尔皮特里医院）
AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
University of Tehran（塔里斯坦大学）；University of South Carolina（南卡罗来纳大学）；University of West London（西伦敦大学）；Azad University（阿扎德大学）；Amirkabir University of Technology（阿米卡比尔技术大学）
According to the World Health Organization (WHO), one in four people will be affected by mental disorders at some point in their lives. However, in many parts of the world, patients do not actively seek professional diagnosis because of stigma attached to mental illness, ignorance of mental health and its associated symptoms. In this paper, we propose a model for passively detecting mental disorders using conversations on Reddit. Specifically, we focus on a subset of mental disorders that are characterized by distinct emotional patterns (henceforth called emotional disorders): major depressive…
Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines
School of Software Engineering, Beijing University of Technology（北京工业大学软件学院）；Peking University Huilongguan Clinical Medical School（北京大学回龙湖临床医学院）；Sorbonne Université（索邦大学）；Institut du Cerveau – Paris Brain Institute - ICM（巴黎脑研究所（ICM））；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（巴黎公共医疗集团）；Hôpital de la Pitié-Salpêtrière（皮蒂-萨尔皮特里医院）
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）
Many people struggling with mental health issues are unable to access adequate care due to high costs and a shortage of mental health professionals, leading to a global mental health crisis. Online mental health communities can help mitigate this crisis by offering a scalable, easily accessible alternative to in-person sessions with therapists or support groups. However, people seeking emotional or psychological support online may be especially vulnerable to the kinds of antisocial behavior that sometimes occur in online discussions. Moderation can improve online discourse quality, but we lack…
Shanghai University of Electric Power（上海电力大学）；Ludwig Maximilian University（慕尼黑大学）；Siemens Corporate Technology（西门子企业技术）；ETH Zurich（苏黎世联邦理工学院）
Story generation, which aims to generate a long and coherent story automatically based on the title or an input sentence, is an important research area in the field of natural language generation. There is relatively little work on story generation with appointed emotions. Most existing works focus on using only one specific emotion to control the generation of a whole story and ignore the emotional changes in the characters in the course of the story. In our work, we aim to design an emotional line for each character that considers multiple emotions common in psychological theories, with the …
Speech-based Psychological Crisis Assessment using LLMs
Tsinghua University（清华大学）；Peking University Huilongguan Clinical Medical School（北京大学回龙guan临床医学院）；WHO Collaborating Centre for Research and Training in Suicide Prevention（世界卫生组织自杀预防研究与培训协作中心）
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）
Emotional support conversation aims at reducing the emotional distress of the help-seeker, which is a new and challenging task. It requires the system to explore the cause of help-seeker's emotional distress and understand their psychological intention to provide supportive responses. However, existing methods mainly focus on the sequential contextual information, ignoring the hierarchical relationships with the global cause and local psychological intention behind conversations, thus leads to a weak ability of emotional support. In this paper, we propose a Global-to-Local Hierarchical Graph N…
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）
Great research interests have been attracted to devise AI services that are able to provide mental health support. However, the lack of corpora is a main obstacle to this research, particularly in Chinese language. In this paper, we propose PsyQA, a Chinese dataset of psychological health support in the form of question and answer pair. PsyQA is crawled from a Chinese mental health service platform, and contains 22K questions and 56K long and well-structured answers. Based on the psychological counseling theories, we annotate a portion of answer texts with typical strategies for providing supp…
Towards Interpretable Mental Health Analysis with Large Language Models
The University of Manchester（曼彻斯特大学）；University of Helsinki（赫尔辛基大学）；Yale University（耶鲁大学）；Artificial Intelligence Research Center, AIST（日本国立研究开发法人产业技术综合研究所人工智能研究中心）；Jiangxi Normal University（江西师范大学）
PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health
Stony Brook University（石溪大学）；New York University（纽约大学）；University of Melbourne（墨尔本大学）；University of Texas at Dallas（德克萨斯大学达拉斯分校）；University of Pennsylvania（宾夕法尼亚大学）；Stanford University（斯坦福大学）
The Expressions of Depression and Anxiety in Chinese Psycho-counseling: Usage of First-person Singular Pronoun and Negative Emotional Words
Hangzhou Normal University（杭州师范大学）；Zhejiang University（浙江大学）；Westlake University（西湖大学）；Queen Mary University of London（伦敦玛丽女王大学）；Hangzhou Polytechnic（杭州职业技术学院）
While non-suicidal self-injury (NSSI) is not a new phenomenon, there is still a limited yet little is still known about understanding of the behavior, the intent behind the behavior and what the individuals themselves say about their behavior. This study collected pro-NSSI public blog posts from Reddit on pro-NSSI and analyzed the content linguistically using LIWC software, in order to examine the use of NSSI specific words, linguistic properties and the psychological linguistic properties. were examined. The results inform current counseling practices by dispelling myths and providing insight…
Department of Computer Science & Engineering, Seoul National University（首尔国立大学计算机科学与工程系）；Department of Psychology, Seokyeong University（锡京大学心理学系）
Starting with the idea that sentiment analysis models should be able to predict not only positive or negative but also other psychological states of a person, we implement a sentiment analysis model to investigate the relationship between the model and emotional state. We first examine psychological measurements of 64 participants and ask them to write a book report about a story. After that, we train our sentiment analysis model using crawled movie review data. We finally evaluate participants' writings, using the pretrained model as a concept of transfer learning. The result shows that senti…
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）
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）
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）
