AI队友让人类成员交流变少，影响归属感与地位。
The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making
- 用对话分析和问卷研究人类-人工智能协作中的沟通模式。
- AI队友发言最多但信息量最低，人类互动减少且感受被边缘化。
- 效果在任务开始即显现，适合关注人机协作社会影响的研究者。
随着对话式AI被视作团队成员而非工具，其对人类间沟通的影响尚不明确。本研究通过群体沟通分析（GCA）、团队调查和话语词汇分析，在随机对照实验中考察了小团队决策中的社会认知沟通动态。16组由两名学生加一个AI队友组成，17组为纯人类三人组，完成高风险道德困境决策任务。结果显示，所有含AI的团队中，AI是发言最频繁、自我凝聚力最强的成员，但其贡献的信息新颖性最低、密度也最低。同时，人类成员间的响应度与社交影响力下降，归属感和地位感降低。AI主导对话程度越高，人类成员越感到自身价值被削弱。该社会代价在任务初始即出现，不随时间累积。研究据此提出面向语音交互与长期追踪的研究方向。
原文摘要 · Abstract (English)
Conversational AI is increasingly positioned as a teammate rather than a tool, yet we know little about how its presence reshapes communication among the humans on the team. We examined sociocognitive communication dynamics in team decision-making using Group Communication Analysis (GCA), team surveys, and lexical analyses of team discourse. Teams completed a high-stakes moral-dilemma decision task in a randomized controlled study: 16 teams of two students plus an AI teammate, and 17 all-human teams of three. Across six GCA dimensions and survey outcomes, we find that the AI teammate was the single most talkative and self-cohesive member of every treatment team, yet its contributions carried the least new information and the lowest density. The presence of AI also reshaped communication amongst humans. In AI-human teams, human teammates showed lower responsivity and social impact toward one another and reported lower levels of belonging and status. Greater AI dominance in the conversation was associated with students feeling less valued as team members. Additionally, this social cost is immediate and present at baseline; it does not emerge over the course of the conversation. Drawing on these results, we discuss a research agenda extending to voice-based and longitudinal settings.
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