AI调解员在争议中调节情绪并创造价值
AI Mediators Regulate Emotion and Create Value in Disputes
- University of Southern California（南加州大学）
- Vanderbilt University（范德堡大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过实验比较AI与人类调解员在争议中的表现，发现AI能更有效减少负面情绪并可能促进共同收益，尤其在发送权衡建议方面表现突出。
AI中文摘要：
在冲突和争议中，情绪尤其作为影响结果的重要力量发挥作用。先前的研究表明，负面情绪会阻碍合作行为，而合作行为通常能带来“双赢”的结果。因此，有人建议调解员可能有助于调节情绪并实现共同收益。随着人工智能的普及，我们假设大型语言模型（LLMs）可能在此任务中表现良好，并且相比人类调解员具有更好的可及性优势。为了检验AI与新手人类调解员的有效性，我们进行了一项受试者间实验，参与者参与由人类、AI或无调解员调解的争议。我们首先分析了调解员在争议中调节情绪的效果——发现AI调解员在减少负面情绪方面显著优于人类。接着，我们考察了AI调解员是否有助于争议方在高整合潜力（IP）的争议中更好地实现共同收益——我们发现IP与条件（AI与人类）之间存在边缘显著的交互作用，表明LLMs可能在帮助争议方实现共同收益方面优于人类。最后，我们对调解员发送的消息进行了分析，发现AI发送的暗示权衡的消息数量显著多于人类调解员。
英文摘要：
In conflict and disputes, especially, emotion acts as a salient force in influencing outcomes. Prior work shows negative affect can obstruct collaborative behaviors, which typically lead to ``win-win'' outcomes. Thus, some suggest mediators may help regulate emotion and achieve joint gains. With the proliferation of AI, we posit LLMs may perform well at this task, with the added benefit of better accessibility compared with a human mediator. To examine the effectiveness of AI versus novice human mediators, we conduct a between-subjects experiment, where participants engage in a dispute mediated by a human, AI, or no mediator. We first analyze how well the mediators regulate emotions within a dispute -- finding AI mediators perform significantly better than humans at reducing negative emotion. We next examine whether AI mediators facilitate disputants better realizing joint gains in disputes with high integrative potential (IP) -- we find a marginally significant interaction between IP and condition (AI versus human), indicating LLMs may outperform humans at aiding disputants realize joint gains. Lastly, we perform an analysis of the messages the mediators sent, finding the AI sent significantly more messages suggesting trade-offs compared to the humans.
