AI队友的社会成本：人工智能队友如何重塑小型团队决策中的人际沟通

中文摘要 AI 辅助

对话式人工智能越来越被定位为队友而非工具，但人们对其存在如何重塑团队中人与人之间的沟通知之甚少。本研究采用群体沟通分析（GCA）、团队调查以及团队话语的词汇分析，考察了团队决策中的社会认知沟通动态。研究开展了一项随机对照研究，让团队完成一项高风险道德困境决策任务：16支由两名学生加一名AI队友组成的团队，以及17支由三名成员组成的全人类团队。在六个GCA维度和调查结果中，研究发现AI队友是每个实验组团队中话最多、自我内聚性最强的成员，但其贡献携带的新信息最少、密度最低。AI的存在也重塑了人类之间的沟通：在人机团队中，人类队友之间的响应性和社会影响更低，归属感和地位感知也更低；对话中AI的主导性越强，学生越觉得自己作为团队成员不被重视。此外，这种社会成本是即时的，在基线时就已存在，并非在对话过程中才出现。基于这些结果，本文探讨了延伸至语音和纵向场景的研究议程。

英文摘要

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.

发表机构

• University of California, Irvine（加利福尼亚大学欧文分校）
• University of Tübingen（蒂宾根大学）

机构由 AI 辅助整理，请以论文原文为准。