构建跨文化纠纷对话数据集，揭示情绪表达差异与冲突升级机制
KODIS: A Multicultural Dispute Resolution Dialogue Corpus
- 收集75国参与者的真实纠纷对话，基于冲突理论设计场景
- 发现愤怒表达易引发冲突升级，且不同文化情绪表现差异显著
- 适合研究跨文化沟通、情感计算与人机交互的学者使用
我们提出了KODIS，一个包含来自75多个国家数千条对话的双人纠纷解决语料库。基于文化与冲突的理论模型，研究人员设计了典型客服纠纷情境以激发强烈情绪和冲突。该语料库包含丰富的个体特征、互动过程与结果度量指标。初步分析支持愤怒表达导致冲突升级的理论，并揭示了文化在情绪表达上的差异。我们已将该语料库及数据收集框架公开共享给学术社区。
原文摘要 · Abstract (English)
We present KODIS, a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. Motivated by a theoretical model of culture and conflict, participants engage in a typical customer service dispute designed by experts to evoke strong emotions and conflict. The corpus contains a rich set of dispositional, process, and outcome measures. The initial analysis supports theories of how anger expressions lead to escalatory spirals and highlights cultural differences in emotional expression. We make this corpus and data collection framework available to the community.
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