Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
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Abstract (arXiv)
Millions of users come to online peer counseling platforms to seek support. However, studies show that online peer support groups are not always as effective as expected, largely due to users' negative experiences with unhelpful counselors. Peer counselors are key to the success of online peer counseling platforms, but most often do not receive appropriate training.Hence, we introduce CARE: an AI-based tool to empower and train peer counselors through practice and feedback. Concretely, CARE helps diagnose which counseling strategies are needed in a given situation and suggests example responses to counselors during their practice sessions. Building upon the Motivational Interviewing framework, CARE utilizes large-scale counseling conversation data with text generation techniques to enable these functionalities. We demonstrate the efficacy of CARE by performing quantitative evaluations and qualitative user studies through simulated chats and semi-structured interviews, finding that CARE especially helps novice counselors in challenging situations. The code is available at https://github.com/SALT-NLP/CARE
Key facts. Cited by 23 papers in the map (data through 14 Oct 2026). Builds on 26 of its 155 references that are in the map. First posted on arXiv 15 May 2023.
Builds on
26 of 155 references.
References · 26
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Citing papers per year: 2023: 6; 2024: 4; 2025: 6; 2026: 7.
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- 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
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- 2024Social Skill Training with Large Language Modelscited by 15
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- 2026CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counsellingcited by 1
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- 2025Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communitiescited by 0
- 2025"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactionscited by 0
- 2026Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMscited by 0
- 2026CounselReflect: Opportunities and Challenges for Designing Tools to Support Self-Reflection on Mental Health and Well-Being Conversations with AIcited by 0
- 2026MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counselingcited by 0
- 2026PeerPen: AI-Assisted Writing for Online Mental Health Peer Supportcited by 0
- 2026PeerPen: AI-Assisted Writing for Online Mental Health Peer Support14 Sep 2026
- 2026CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling23 Aug 2026
- 2026MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling28 Jun 2026
- 2026CounselReflect: Opportunities and Challenges for Designing Tools to Support Self-Reflection on Mental Health and Well-Being Conversations with AI31 Mar 2026
- 2026Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs25 Feb 2026
- 2026Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming23 Feb 2026
- 2026From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications12 Jan 2026
- 2025"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions11 Jun 2025
- 2025Hanging in the Balance: Pivotal Moments in Crisis Counseling Conversations4 Jun 2025
- 2025Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate28 May 2025
- 2025Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities8 Apr 2025
- 2025When LLM Therapists Become Salespeople: Evaluating Large Language Models for Ethical Motivational Interviewing30 Mar 2025
11 more
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- 2024PATIENT-Psi: Using Large Language Models to Simulate Patients for Training Mental Health Professionals30 May 2024
- 2024Social Skill Training with Large Language Models5 Apr 2024
- 2023Adaptive Instrument Design for Indirect Experiments5 Dec 2023
- 2023Benefits and Harms of Large Language Models in Digital Mental Health7 Nov 2023
- 2023Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Support12 Oct 2023
- 2023Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting11 Oct 2023
- 2023Rehearsal: Simulating Conflict to Teach Conflict Resolution21 Sep 2023
- 2023The Rise and Potential of Large Language Model Based Agents: A Survey14 Sep 2023
- 2023Rehearsal: Simulating Conflict to Teach Conflict Resolutioncited by 55
- 2023Benefits and Harms of Large Language Models in Digital Mental Healthcited by 40
- 2024PATIENT-Psi: Using Large Language Models to Simulate Patients for Training Mental Health Professionalscited by 21
- 2023Harnessing Large Language Models' Empathetic Response Generation Capabilities for Online Mental Health Counselling Supportcited by 17
- 2024Social Skill Training with Large Language Modelscited by 15
- 2023Adaptive Instrument Design for Indirect Experimentscited by 6
- 2025Hanging in the Balance: Pivotal Moments in Crisis Counseling Conversationscited by 4
- 2025Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluatecited by 3
- 2024Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessionscited by 1
- 2026From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applicationscited by 1
- 2026CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counsellingcited by 1
- 2025When LLM Therapists Become Salespeople: Evaluating Large Language Models for Ethical Motivational Interviewingcited by 0
12 most cited of 17 All 17 (JSON)
- 2026PeerPen: AI-Assisted Writing for Online Mental Health Peer Support14 Sep 2026
- 2026CAIA in Practice: Field Evaluation of an AI-Assisted Support System for Text-Based Online Counselling23 Aug 2026
- 2026CounselReflect: Opportunities and Challenges for Designing Tools to Support Self-Reflection on Mental Health and Well-Being Conversations with AI31 Mar 2026
- 2026Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs25 Feb 2026
- 2026From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications12 Jan 2026
- 2025"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions11 Jun 2025
- 2025Hanging in the Balance: Pivotal Moments in Crisis Counseling Conversations4 Jun 2025
- 2025Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate28 May 2025
- 2025Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities8 Apr 2025
- 2025When LLM Therapists Become Salespeople: Evaluating Large Language Models for Ethical Motivational Interviewing30 Mar 2025
- 2024Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions3 Sep 2024
- 2024PATIENT-Psi: Using Large Language Models to Simulate Patients for Training Mental Health Professionals30 May 2024
12 newest of 17 All 17 (JSON)