research-article

Rehearsal: Simulating Conflict to Teach Conflict Resolution

Authors:

Valentino Emil Chai,

Michele Gelfand,

Michael S. BernsteinAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 920, Pages 1 - 20

https://doi.org/10.1145/3613904.3642159

Published: 11 May 2024 Publication History

Abstract

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.

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Lim HChoi DHong HFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Identify Design Problems Through Questioning: Exploring Role-playing Interactions with Large Language Models to Foster Design Questioning SkillsCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681912(598-602)Online publication date: 11-Nov-2024
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Rehearsal: Simulating Conflict to Teach Conflict Resolution

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cover image ACM Conferences

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

May 2024

18961 pages

ISBN:9798400703300

DOI:10.1145/3613904

Editors:
Florian Floyd Mueller
Monash University
,
Penny Kyburz
The Australian National University
,
Julie R. Williamson
University of Glasgow
,
Corina Sas
Lancaster University
,
Max L. Wilson
University of Nottingham
,
Phoebe Toups Dugas
Monash University/New Mexico State University
,
Irina Shklovski
University of Copenhagen

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Cited By

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https://doi.org/10.3390/fi16050177
Lim HChoi DHong HFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Identify Design Problems Through Questioning: Exploring Role-playing Interactions with Large Language Models to Foster Design Questioning SkillsCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681912(598-602)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681912
Lin SRizk BJun MArtze ASullivan CMozgai SFisher S(2024)Estuary: A Framework For Building Multimodal Low-Latency Real-Time Socially Interactive AgentsProceedings of the 24th ACM International Conference on Intelligent Virtual Agents10.1145/3652988.3696198(1-3)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3652988.3696198
Gao CLan XLi NYuan YDing JZhou ZXu FLi Y(2024)Large language models empowered agent-based modeling and simulation: a survey and perspectivesHumanities and Social Sciences Communications10.1057/s41599-024-03611-311:1Online publication date: 27-Sep-2024
https://doi.org/10.1057/s41599-024-03611-3

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