What Types of Human-AI Teams Exist?
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 18 of its 74 references that are in the map. First posted on arXiv 2 Jul 2026.
Builds on
18 of 74 references.
References · 18
- 2020Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performancecited by 396
- 2024Complementarity in Human-AI Collaboration: Concept, Sources, and Evidencecited by 35
- 2022On the Utility of Prediction Sets in Human-AI Teamscited by 34
- 2024Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Taskcited by 17
- 2021Who/What is My Teammate? Team Composition Considerations in Human-AI Teamingcited by 12
- 2024A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teamscited by 12
- 2025The BIG Argument for AI Safety Casescited by 12
- 2021Towards Visual Explainable Active Learning for Zero-Shot Classificationcited by 10
- 2024Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaborationcited by 9
- 2024Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Taskcited by 8
- 2019A Case for Backward Compatibility for Human-AI Teamscited by 7
- 2023Artifact magnification on deepfake videos increases human detection and subjective confidencecited by 4
6 more
- 2023Unravelling Responsibility for AIcited by 3
- 2023Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teamingcited by 3
- 2025Unraveling Human-AI Teaming: A Review and Outlookcited by 3
- 2022Modeling Human-AI Team Decision Makingcited by 2
- 2023Incorporating Human Flexibility through Reward Preferences in Human-AI Teamingcited by 2
- 2023Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learningcited by 2
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Citing papers per year: 2026: 1.
1 paper.