AI实时指导团队协作，提升效率与信任度。
Socratic: Enhancing Human Teamwork via AI-enabled Coaching
- AI在任务中实时监测团队行为并纠正理解偏差。
- 实验显示少量干预即显著提升团队表现。
- 适合医疗、应急等高要求协作场景使用。
教练对高效协作至关重要，但现实任务中常因成本与资源限制难以全程参与，尤其在医疗、灾难响应等生命攸关领域面临严峻挑战。为填补这一空白，我们提出并实现了一种创新的AI应用：任务期间的团队教练。具体而言，我们引入Socratic系统，通过实时监控团队行为，识别成员间共享理解的偏差，并自动提供干预以提升团队绩效。我们在两人协作的两项人类实验中验证了Socratic的有效性，结果表明该系统以极少干预即显著提升团队表现，参与者也普遍认为其具有帮助性且可信，支持其实际应用潜力。研究还揭示了AI助力人类协作的未来方向。
原文摘要 · Abstract (English)
Coaches are vital for effective collaboration, but cost and resource constraints often limit their availability during real-world tasks. This limitation poses serious challenges in life-critical domains that rely on effective teamwork, such as healthcare and disaster response. To address this gap, we propose and realize an innovative application of AI: task-time team coaching. Specifically, we introduce Socratic, a novel AI system that complements human coaches by providing real-time guidance during task execution. Socratic monitors team behavior, detects misalignments in team members' shared understanding, and delivers automated interventions to improve team performance. We validated Socratic through two human subject experiments involving dyadic collaboration. The results demonstrate that the system significantly enhances team performance with minimal interventions. Participants also perceived Socratic as helpful and trustworthy, supporting its potential for adoption. Our findings also suggest promising directions both for AI research and its practical applications to enhance human teamwork.
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