通过对话分析预测救援团队表现，揭示沟通模式与成效关联
Predicting Team Performance from Communications in Simulated Search-and-Rescue
- 用主题建模和聚类分析游戏中的对话文本
- 发现团队表现差异可由个体特质与互动模式解释
- 适合研究人机协作、团队效能的学者参考
理解个体特质如何影响团队表现具有重要价值，但这些特质未必能直接观测。以往研究曾从行为数据中推断信任等特质。本文分析基于Minecraft的搜救实验对话记录，运用主题建模与聚类方法识别关键交互模式。研究发现，团队表现差异可通过推断出的个体特质与团队动态加以解释，且不同因素对预测结果的贡献程度各异。
原文摘要 · Abstract (English)
Understanding how individual traits influence team performance is valuable, but these traits are not always directly observable. Prior research has inferred traits like trust from behavioral data. We analyze conversational data to identify team traits and their correlation with teaming outcomes. Using transcripts from a Minecraft-based search-and-rescue experiment, we apply topic modeling and clustering to uncover key interaction patterns. Our findings show that variations in teaming outcomes can be explained through these inferences, with different levels of predictive power derived from individual traits and team dynamics.
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