Artificial Intelligence (AI) chatbots are increasingly used for emotional, creative, and social support, leading to sustained and routine user interaction with these systems. As these applications evolve through frequent version updates, changes in functionality or behavior may influence how users evaluate them. However, work on how publicly expressed user feedback varies across app versions in real-world deployment contexts is limited. This study analyzes 210,840 Google Play reviews of the chatbot application Character AI, linking each review to the app version active at the time of posting. We specifically examine negative reviews to study how version-level rating trends, and linguistic patterns reflect user experiences. Our results show that user ratings fluctuate across successive versions, with certain releases associated with stronger negative evaluations. Thematic analysis indicates that dissatisfaction is concentrated around recurring issues related to technical malfunctions and errors. A subset of reviews additionally frames these concerns in terms of potential psychological or addiction-related effects. The findings highlight how aggregate user evaluations and expressed concerns vary across software iterations and provide empirical insight into how update cycles relate to user feedback patterns and underscore the importance of stability and transparent communication in evolving AI systems.
Cloning the Self for Mental Well-Being: A Framework for Designing Safe and Therapeutic Self-Clone Chatbots
University of British Columbia（不列颠哥伦比亚大学）；Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院）；City College of New York（纽约市立学院）；Korea Institute of Science and Technology（韩国科学技术院）
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）
A clinically validated framework for auditing AI chatbot behavior in mental health interactions
Max Planck UCL Centre for Computational Psychiatry and Ageing Research（马克斯·普朗克-伦敦大学学院计算精神病学与老龄化研究中心）；Sydney Medical School, University of Sydney（悉尼大学悉尼医学院）；UK AI Security Institute（英国人工智能安全研究所）；Department of Experimental Psychology, University of Oxford（牛津大学实验心理学系）；Microsoft AI（微软人工智能）；Department of Psychiatry, University of Oxford（牛津大学精神病学系）
Co-Designing AI For Mental Health Support With Young Adults of Color (YOC): Needs, Expectations, and Implications for AI Literacy
University of Southern California（南加州大学）；University of California, Riverside（加州大学河滨分校）；University of Cincinnati（辛辛那提大学）；University of Washington（华盛顿大学）；Center for Democracy & Technology（民主与技术中心）
Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools
Sue & Bill Gross School of Nursing, University of California, Irvine（加州大学欧文分校苏与比尔·格罗斯护理学院）；Department of Computer Sciences, University of California, Irvine（加州大学欧文分校计算机科学系）；School of Medicine, University of California, Irvine（加州大学欧文分校医学院）；Department of Psychological Science, University of California, Irvine（加州大学欧文分校心理科学系）；Chicago School of Professional Psychology（芝加哥专业心理学院）；HealthUnity
The Agony of Opacity: Foundations for Reflective Interpretability in AI-Mediated Mental Health Support
University of California, San Francisco (UCSF)（加州大学旧金山分校）；Northwestern University（西北大学）；Feinberg School of Medicine, Northwestern University（西北大学费恩伯格医学院）；Microsoft Research（微软研究院）
From Risk Avoidance to User Empowerment in AI Mental Health Crisis Support
Dartmouth College（达特茅斯学院）；Northwestern University（西北大学）；University of California San Francisco（加州大学旧金山分校）；University of Minnesota（明尼苏达大学）；Microsoft Research（微软研究院）；LivingWorks；Florida State University（佛罗里达州立大学）；Microsoft（微软）；Boston University（波士顿大学）；Johns Hopkins University（约翰斯·霍普金斯大学）；Mental Health America（美国心理健康协会）；University of Washington（华盛顿大学）
Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers
University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；Indiana University Indianapolis（印第安纳大学印第安纳波利斯分校）；University of Massachusetts Amherst（马萨诸塞大学阿姆赫斯特分校）
Designing an LLM-Based Behavioral Activation Chatbot for Young People with Depression: Insights from an Evaluation with Artificial Users and Clinical Experts
Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院）；University of Greifswald（格赖夫斯瓦尔德大学）
Do You Understand How I Feel?: Towards Verified Empathy in Therapy Chatbots
Université Paris-Saclay, Centre National de la Recherche Scientifique（巴黎萨克雷大学，法国国家科学研究中心）；TU Wien（维也纳技术大学）；Politecnico di Milano（米兰理工学院）；Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院）
User Perceptions of an LLM-Based Chatbot for Cognitive Reappraisal of Stress: Feasibility Study
King Center on Global Development, Stanford University（斯坦福大学全球发展国王中心）；Department of Computer Science, University of Toronto（多伦多大学计算机科学系）；Microsoft Research（微软研究院）；School of Interactive Computing, Georgia Institute of Technology（佐治亚理工学院互动计算学院）
