研究人格特质如何影响AI在公共空间的决策，发现开放性最强影响信息接受度。
The Impact of Big Five Personality Traits on AI Agent Decision-Making in Public Spaces: A Social Simulation Study
- 用人格五因素模型模拟10个AI agent在课堂应对虚假信息
- 开放性高者信息接受率显著提升，外向与尽责性也具明显影响
- 外向友好的代理公开表态与私下想法差异大，适合社交场景优化
本研究探讨大五人格特质对公共空间中AI代理决策行为的影响。基于AgentVerse框架和GPT-3.5-turbo，我们模拟了10个分别体现大五人格维度的AI代理在教室环境中应对虚假信息的互动。实验评估了代理的公开表达（[Speak]）与私密思考（[Think]），揭示人格特质与决策模式存在显著相关性。结果显示，经验开放性对信息接受度影响最显著，好奇心强的代理接受率高，谨慎型则表现出强烈怀疑。外向性和尽责性也对决策有明显影响，而神经质和宜人性表现更为平衡。此外，观察到公开表达与私密思考间存在显著差异，尤其在友善且外向的代理中，表明社会情境会影响决策行为。研究有助于理解人格如何塑造AI在社交环境中的行为，为构建更精细、情境感知的AI系统提供参考。
原文摘要 · Abstract (English)
This study investigates how the Big Five personality traits influence decision-making processes in AI agents within public spaces. Using AgentVerse framework and GPT-3.5-turbo, we simulated interactions among 10 AI agents, each embodying different dimensions of the Big Five personality traits, in a classroom environment responding to misinformation. The experiment assessed both public expressions ([Speak]) and private thoughts ([Think]) of agents, revealing significant correlations between personality traits and decision-making patterns. Results demonstrate that Openness to Experience had the strongest impact on information acceptance, with curious agents showing high acceptance rates and cautious agents displaying strong skepticism. Extraversion and Conscientiousness also showed notable influence on decision-making, while Neuroticism and Agreeableness exhibited more balanced responses. Additionally, we observed significant discrepancies between public expressions and private thoughts, particularly in agents with friendly and extroverted personalities, suggesting that social context influences decision-making behavior. Our findings contribute to understanding how personality traits shape AI agent behavior in social settings and have implications for developing more nuanced and context-aware AI systems.
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