这篇论文帮你理清了人机团队到底有几种类型，看了53篇文献给你分了5类，读完就知道不同研究到底在聊什么、结论能不能通用。
本研究系统分析了53篇关于人机团队的论文，基于心理学团队分类法将其归纳为5个集群：AI助手、临时依赖、临时强制依赖、配对平衡和群体平衡。每个集群代表不同的整体团队特征，表明同一术语下存在多种异质团队类型。研究指出，不同论文间的见解是否可迁移存疑，并提供了识别人机团队类型的指南和研究报告清单。
What Types of Human-AI Teams Exist?
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.