AI分享对队友目标的推断，能提升协作感知却未必提高实际表现。
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance
- AI主动分享对人类队友目标的推测，促进团队策略调整。
- 三组实验中任务表现无显著差异，但协作感知明显提升。
- 适合关注人机信任与协作体验的研究者或应用设计者。
在人机协作团队中，直接共享目标虽常被假设能提升规划与效率，但往往难以实现，需通过行为推断对方意图。本文探究了AI向人类队友主动分享其对目标的推断是否能改善任务表现与协作感知。通过对比三种条件：无识别（NR）、可行目标（VG）和按需提供可行目标（VGod），发现目标共享未带来任务表现或总体满意度的显著提升。然而主题分析显示，该机制支持了战略适应，并增强了协作主观感知。认知负荷评估表明各条件间无额外负担，凸显了人机交互中信息量与简洁性间的平衡挑战。研究揭示目标共享的复杂权衡：虽增进信任与协作感，但可能抑制客观性能提升。
原文摘要 · Abstract (English)
In human-agent teams, openly sharing goals is often assumed to enhance planning, collaboration, and effectiveness. However, direct communication of these goals is not always feasible, requiring teammates to infer their partner's intentions through actions. Building on this, we investigate whether an AI agent's ability to share its inferred understanding of a human teammate's goals can improve task performance and perceived collaboration. Through an experiment comparing three conditions-no recognition (NR), viable goals (VG), and viable goals on-demand (VGod) - we find that while goal-sharing information did not yield significant improvements in task performance or overall satisfaction scores, thematic analysis suggests that it supported strategic adaptations and subjective perceptions of collaboration. Cognitive load assessments revealed no additional burden across conditions, highlighting the challenge of balancing informativeness and simplicity in human-agent interactions. These findings highlight the nuanced trade-off of goal-sharing: while it fosters trust and enhances perceived collaboration, it can occasionally hinder objective performance gains.
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