mlsanityData to 7 Oct 2026

ComPeer: A Generative Conversational Agent for Proactive Peer Support

arXiv 2407.18064 ↗First posted 25 Jul 2024cs.HCcited by 24

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

Conversational Agents (CAs) acting as peer supporters have been widely studied and demonstrated beneficial for people's mental health. However, previous peer support CAs either are user-initiated or follow predefined rules to initiate the conversations, which may discourage users to engage and build relationships with the CAs for long-term benefits. In this paper, we develop ComPeer, a generative CA that can proactively offer adaptive peer support to users. ComPeer leverages large language models to detect and reflect significant events in the dialogue, enabling it to strategically plan the timing and content of proactive care. In addition, ComPeer incorporates peer support strategies, conversation history, and its persona into the generative messages. Our one-week between-subjects study (N=24) demonstrates ComPeer's strength in providing peer support over time and boosting users' engagement compared to a baseline user-initiated CA.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 8 of its 100 references that are in the map. First posted on arXiv 25 Jul 2024.

Builds on

8 of 100 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 7

  1. 2023A Survey of Hallucination in Large Foundation Modelscited by 365
  2. 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agentscited by 329
  3. 2021Towards Emotional Support Dialog Systemscited by 294
  4. 2022Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planningcited by 59
  5. 2019How should my chatbot interact? A survey on human-chatbot interaction designcited by 56
  6. 2018Understanding Chatbot-mediated Task Managementcited by 12
  7. 2023Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Accesscited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 14; 2026: 10.

24 papers.

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  1. 2025Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human Statescited by 17
  2. 2025ProactiveVA: Proactive Visual Analytics with LLM-Based UI Agentcited by 14
  3. 2025ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devicescited by 13
  4. 2025ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulationcited by 10
  5. 2026Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directionscited by 10
  6. 2025ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agentscited by 9
  7. 2025LLAMAPIE: Proactive In-Ear Conversation Assistantscited by 8
  8. 2025The Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptionscited by 6
  9. 2025HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Modelscited by 4
  10. 2025Carbon and Silicon, Coexist or Compete? A Survey on Human-AI Interactions in Agent-based Modeling and Simulationcited by 3
  11. 2026Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interactioncited by 3
  12. 2026ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agentscited by 3
12 more
  1. 2026AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversationscited by 2
  2. 2025Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignmentscited by 1
  3. 2026Multi-Agent Systems Shape Social Norms for Prosocial Behavior Changecited by 1
  4. 2026Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Studycited by 1
  5. 2026"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborationscited by 1
  6. 2025Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communitiescited by 0
  7. 2025"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactionscited by 0
  8. 2025"I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singaporecited by 0
  9. 2025Investigating AI in Peer Support via Multi-Module System-Driven Embodied Conversational Agentscited by 0
  10. 2026Deco: Extending Cherished Physical Objects into AI Companion Agents through Dual Embodimentcited by 0
  11. 2026Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modelingcited by 0
  12. 2026From Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Studycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
  2. 2022ProsocialDialog: A Prosocial Backbone for Conversational Agents
  3. 2023Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
  4. 2026Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework
  5. 2026When Workout Buddies Are Virtual: AI Agents and Human Peers in a Longitudinal Physical Activity Study
  6. 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems
  7. 2024MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
  8. 2025Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities