mlsanityData to 14 Oct 2026

Rehearsal: Simulating Conflict to Teach Conflict Resolution

arXiv 2309.12309 ↗First posted 21 Sep 2023cs.HC cs.AI cs.CLcited by 55

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Abstract (arXiv)

Interpersonal conflict is an uncomfortable but unavoidable fact of life. Navigating conflict successfully is a skill -- one that can be learned through deliberate practice -- but few have access to effective training or feedback. To expand this access, we introduce Rehearsal, a system that allows users to rehearse conflicts with a believable simulated interlocutor, explore counterfactual "what if?" scenarios to identify alternative conversational paths, and learn through feedback on how and when to apply specific conflict strategies. Users can utilize Rehearsal to practice handling a variety of predefined conflict scenarios, from office disputes to relationship issues, or they can choose to create their own setting. To enable Rehearsal, we develop IRP prompting, a method of conditioning output of a large language model on the influential Interest-Rights-Power (IRP) theory from conflict resolution. Rehearsal uses IRP to generate utterances grounded in conflict resolution theory, guiding users towards counterfactual conflict resolution strategies that help de-escalate difficult conversations. In a between-subjects evaluation, 40 participants engaged in an actual conflict with a confederate after training. Compared to a control group with lecture material covering the same IRP theory, participants with simulated training from Rehearsal significantly improved their performance in the unaided conflict: they reduced their use of escalating competitive strategies by an average of 67%, while doubling their use of cooperative strategies. Overall, Rehearsal highlights the potential effectiveness of language models as tools for learning and practicing interpersonal skills.

Key facts. Cited by 55 papers in the map (data through 14 Oct 2026). Builds on 24 of its 100 references that are in the map. First posted on arXiv 21 Sep 2023.

Builds on

24 of 100 references.

References · 24

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  4. 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddingscited by 1,312
  5. 2022Discovering Language Model Behaviors with Model-Written Evaluationscited by 836
  6. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  7. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 301
  8. 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 268
  9. 2023From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Modelscited by 260
  10. 2023Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Modelscited by 207
  11. 2022On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoningcited by 194
  12. 2022Re3: Generating Longer Stories With Recursive Reprompting and Revisioncited by 193
12 more
  1. 2023SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Taskscited by 168
  2. 2018Conversations Gone Awry: Detecting Early Signs of Conversational Failurecited by 73
  3. 2022Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Supportcited by 68
  4. 2023Strategic Reasoning with Language Modelscited by 64
  5. 2022How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Modelscited by 44
  6. 2023Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedbackcited by 23
  7. 2023Shaping the Emerging Norms of Using Large Language Models in Social Computing Researchcited by 14
  8. 2021What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subredditscited by 13
  9. 2022Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussionscited by 11
  10. 2022DOC: Improving Long Story Coherence With Detailed Outline Controlcited by 11
  11. 2022Measuring the Prevalence of Anti-Social Behavior in Online Communitiescited by 6
  12. 2020My Team Will Go On: Differentiating High and Low Viability Teams through Team Interactioncited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 19; 2025: 20; 2026: 12.

55 papers.

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  1. 2023Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectivescited by 257
  2. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialoguecited by 123
  3. 2023MetaAgents: Large Language Model Based Agents for Decision-Making on Teamingcited by 85
  4. 2024Can Large Language Model Agents Simulate Human Trust Behavior?cited by 64
  5. 2024Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluationcited by 58
  6. 2024Large Language Models Assume People are More Rational than We Really arecited by 54
  7. 2023Grounding Gaps in Language Model Generationscited by 47
  8. 2024TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Studentscited by 25
  9. 2025On Benchmarking Human-Like Intelligence in Machinescited by 25
  10. 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
  11. 2025Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Modelscited by 21
  12. 2024Position: Towards Bidirectional Human-AI Alignmentcited by 18
38 more
  1. 2024Psychometric Alignment: Capturing Human Knowledge Distributions via Language Modelscited by 18
  2. 2025BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discoverycited by 18
  3. 2025Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Reviewcited by 16
  4. 2025Social World Modelscited by 16
  5. 2024Social Skill Training with Large Language Modelscited by 15
  6. 2025Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizationscited by 14
  7. 2024A Survey on Human-Centric LLMscited by 13
  8. 2026HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialoguecited by 13
  9. 2024IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interactioncited by 12
  10. 2024Evaluating and Optimizing Educational Content with Large Language Model Judgmentscited by 12
  11. 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworkercited by 11
  12. 2025AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Rerankingcited by 8
  13. 2024Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivationcited by 7
  14. 2026DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviorscited by 7
  15. 2025DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Designcited by 6
  16. 2025How Managers Perceive AI-Assisted Conversational Training for Workplace Communicationcited by 5
  17. 2024Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularitycited by 4
  18. 2024Social Life Simulation for Non-Cognitive Skills Learningcited by 3
  19. 2024LLMs as mediators: Can they diagnose conflicts accurately?cited by 3
  20. 2025Carbon and Silicon, Coexist or Compete? A Survey on Human-AI Interactions in Agent-based Modeling and Simulationcited by 3
  21. 2025DICE: A Framework for Dimensional and Contextual Evaluation of Language Modelscited by 3
  22. 2025Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbotscited by 3
  23. 2025ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiationcited by 3
  24. 2026Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teamingcited by 3
  25. 2023The Use of Multiple Conversational Agent Interlocutors in Learningcited by 2
  26. 2024Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive Agentscited by 2
  27. 2025Designing Conversational AI to Support Think-Aloud Practice in Technical Interview Preparation for CS Studentscited by 2
  28. 2025Does AI Coaching Prepare us for Workplace Negotiations?cited by 2
  29. 2026Not My Truce: Personality Differences in AI-Mediated Workplace Negotiationcited by 2
  30. 2024How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Responsecited by 1
  31. 2025AI That Helps Us Help Each Other: A Proactive System for Scaffolding Mentor-Novice Collaboration in Entrepreneurship Coachingcited by 1
  32. 2025Emotionally-Aware Agents for Dispute Resolutioncited by 1
  33. 2026Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolutioncited by 1
  34. 2025Promoting Online Safety by Simulating Unsafe Conversations with LLMscited by 0
  35. 2025First, Do No Harm: AI Supervisor Scaffolds Novice Growth in Counselor Educationcited by 0
  36. 2025Feed-O-Meter: Investigating AI-Generated Mentee Personas as Interactive Agents for Scaffolding Design Feedback Practicecited by 0
  37. 2026Power Echoes: Investigating Moderation Biases in Online Power-Asymmetric Conflictscited by 0
  38. 2026"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Usecited by 0

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