梳理53篇论文，发现人类-AI团队有五种不同类型。
What Types of Human-AI Teams Exist?
- 基于心理学分类法，将团队分为五类。
- 不同团队类型在协作机制上差异显著。
- 为研究者提供识别与报告团队类型的方法。
人类-AI协作近年受到广泛关注，但跨领域研究繁杂，难以厘清当前研究中存在哪些类型的团队，以及它们之间的异同。本文分析了53篇关于人类-AI团队的研究论文，基于团队心理分类体系，将其归纳为五个主要集群：AI助手型、临时依赖型、强制临时依赖型、成对平等型和群体平等型。每一类代表独特的整体团队特征组合，表明在统一定义下研究的团队类型实际上差异明显。这引发了一个关键问题：不同研究间的结论是否真正可迁移？文章最后提出识别团队类型的方法、研究报告清单，以及推动该领域进一步整合的建议。
原文摘要 · Abstract (English)
Human-AI teaming has received increasing attention in the literature. However, the range of studies conducted in multiple domains make it difficult to understand what types of teams are being studied, and in what ways are they similar/different from one another. In this study, we analyse 53 papers on human-AI teams and categorise them into five main clusters based on psychological taxonomies of teaming; AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, and Group Equanimity. Each cluster represents a unique combination of holistic team-level characteristics, indicating there are multiple disparate team types studied under the same definition. In turn, this raises the question of whether insights are truly transferable between papers. We conclude with guidance on how to identify the types of human-AI teams studied, a checklist for reporting a human-AI team in research work, and ways in which the field can be further synthesised.
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