Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues. However, a key challenge on these platforms is finding suitable partners to interact with given that mechanisms to match users are currently underdeveloped. In this paper, we collaborate with one of the world's largest OMHC to develop an agent-based simulation framework and explore the trade-offs in different matching algorithms. The simulation framework allows us to compare current mechanisms and new algorithmic matching policies on the platform, and observe their differing effects on a variety of outcome metrics. Our findings include that usage of the deferred-acceptance algorithm can significantly better the experiences of support-seekers in one-on-one chats while maintaining low waiting time. We note key design considerations that agent-based modeling reveals in the OMHC context, including the potential benefits of algorithmic matching on marginalized communities.
A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbots
University of Illinois Urbana-Champaign, Urbana, United States（伊利诺伊大学厄巴纳-香槟分校）；Indiana University Indianapolis, Indianapolis, United States（印第安纳大学印第安纳波利斯分校）
Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
University of Minnesota（明尼苏达大学）；Northwestern University（西北大学）；Dartmouth College（达特茅斯学院）；Microsoft（微软）；Mental Health America（心理健康美国）；Microsoft Research（微软研究院）
Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health
A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs
Center for Advanced Internet Studies Bochum Germany；Center for Advanced Internet Studies \& University of Wuppertal Bochum Germany；Center for Advanced Internet Studies；Center for Advanced Internet Studies \& University of Wuppertal
Helen Wills Neuroscience Institute, University of California Berkeley, USA（加州大学伯克利分校海伦·威尔斯神经科学研究所）；Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK（马克斯·普朗克伦敦大学学院计算精神病学与衰老研究中心）；Department of Psychology, University of California Berkeley, USA（加州大学伯克利分校心理学系）；Vision Science Group, University of California Berkeley, USA（加州大学伯克利分校视觉科学组）
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）
"I Don't Want My Mental Health App To Give Me Mental Health Barriers": Unpacking The Need For Digital Mental Health Tracking Services With And For The Blind Community
University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa
University of Minnesota（明尼苏达大学）；Technische Universität Berlin（柏林工业大学）；Carnegie Mellon University（卡内基梅隆大学）；Pan African Christian University（泛非基督大学）；The Distributed AI Research Institute（分布式人工智能研究所）；Boston University（波士顿大学）
Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviors
Department of Economics University of Southern California（经济学系 美国南加州大学）；Electrical and Computer Engineering Purdue University（电气与计算机工程系 帕克森大学）；Information Sciences Institute University of Southern California（信息科学研究所 美国南加州大学）
Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study
The University of North Carolina at Charlotte（北卡罗来纳大学夏洛特分校）；Slingshot AI；University of Southern California's Center for Economic and Social Research (CESR)（南加州大学经济与社会研究中心）
Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs
Carnegie Mellon University（卡内基梅隆大学）；University of Washington School of Medicine（华盛顿大学医学院）；Microsoft（微软）；Harvard Medical School（哈佛医学院）；University of Washington（华盛顿大学）
