Lune

EMNLP Findings2024

How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models

Yin Jou Huang, Rafik Hadfi

Abstract

Psychological evidence reveals the influence of personality traits on decision-making. For instance, agreeableness is generally associated with positive outcomes in negotiations, whereas neuroticism is often linked to less favorable outcomes. This paper introduces a simulation framework centered on large language model (LLM) agents endowed with synthesized personality traits. The agents negotiate within bargaining domains and possess customizable personalities and objectives. The experimental results show that the behavioral tendencies of LLM-based simulations can reproduce behavioral patterns observed in human negotiations. The contribution is twofold. First, we propose a simulation methodology that investigates the alignment between the linguistic and economic capabilities of LLM agents. Secondly, we offer empirical insights into the strategic impacts of Big Five personality traits on the outcomes of bilateral negotiations. We also provide an indepth analysis based on simulated bargaining dialogues to reveal intriguing behaviors, including deceitful and compromising behaviors.

Ask Lune

Ask anything. The answer quotes the paper.

Lune reads all of it and the papers around it, then shows you the passages behind every answer.

Questions to start from

Lune answers from

the full paper · 1 top-tier paper that cites it · related work

Get the answer

Free to start. No credit card required.

Cited by top-tier papers1

  1. ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer OptimizationDeuksin Kwon, Jiwon Hae, Emma Clift, Daniel Shamsoddini et al.EMNLP 2025 · 1 citation

Builds on6

  1. Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject StudiesGati V. Aher, Rosa I. Arriaga, Adam Tauman KalaiICML 2023 · 651 citations
  2. Proving Test Set Contamination in Black-Box Language ModelsYonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak et al.ICLR 2024 · 220 citations
  3. Social Simulacra: Creating Populated Prototypes for Social Computing SystemsJoon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris et al.UIST 2022 · 192 citations
  4. Can Large Language Model Agents Simulate Human Trust Behavior?Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye et al.NeurIPS 2024 · 183 citations
  5. Evaluating Language Model Agency Through NegotiationsTim R. Davidson, Veniamin Veselovsky, Michal Kosinski, Robert WestICLR 2024 · 52 citations

Related papers

  1. How Personality Traits Shape LLM Risk-Taking BehaviourJohn Hartley, Conor Brian Hamill, Dale Seddon, Devesh Batra et al.ACL Findings 2025 · 2 citations
  2. Can LLM Agents Maintain a Persona in Discourse?Pranav Bhandari, Nicolas Fay, Michael J. Wise, Amitava Datta et al.EMNLP 2025
  3. Manipulating the Perceived Personality Traits of Language ModelsGraham Caron, Shashank SrivastavaEMNLP Findings 2023 · 20 citations
  4. Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented TasksHasibur Rahman, Smit DesaiCHI 2026 · 1 citation
  5. Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language ModelsLucio La Cava, Andrea TagarelliAAAI 2025 · 36 citations
Dusk over the sea between two cliffs drawn in fine vertical lines