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Advancing Human-Machine Teaming: Concepts, Challenges, and Applications

arXiv 2503.16518 ↗First posted 16 Mar 2025cs.HC cs.AI cs.LGcited by 0

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Abstract (arXiv)

Human-Machine Teaming (HMT) is revolutionizing collaboration across domains such as defense, healthcare, and autonomous systems by integrating AI-driven decision-making, trust calibration, and adaptive teaming. This survey presents a comprehensive taxonomy of HMT, analyzing theoretical models, including reinforcement learning, instance-based learning, and interdependence theory, alongside interdisciplinary methodologies. Unlike prior reviews, we examine team cognition, ethical AI, multi-modal interactions, and real-world evaluation frameworks. Key challenges include explainability, role allocation, and scalable benchmarking. We propose future research in cross-domain adaptation, trust-aware AI, and standardized testbeds. By bridging computational and social sciences, this work lays a foundation for resilient, ethical, and scalable HMT systems.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 161 references that are in the map. First posted on arXiv 16 Mar 2025.

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11 of 161 references.

References · 11

  1. 2021A Survey of Human-in-the-loop for Machine Learningcited by 215
  2. 2018Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challengescited by 20
  3. 2021Who/What is My Teammate? Team Composition Considerations in Human-AI Teamingcited by 12
  4. 2019Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developmentcited by 8
  5. 2022Extending MAPE-K to support Human-Machine Teamingcited by 7
  6. 2018Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomycited by 4
  7. 2022User or Labor: An Interaction Framework for Human-Machine Relationships in NLPcited by 4
  8. 2020Toward Mutual Trust Modeling in Human-Robot Collaborationcited by 2
  9. 2022Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturingcited by 2
  10. 2022Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturingcited by 2
  11. 2019Designing for Emergent Security in Heterogeneous Human-Machine Teamscited by 1

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  2. 2025Adaptive Human-Agent Teaming: A Review of Empirical Studies from the Process Dynamics Perspective
  3. 2025Human Machine Social Hybrid Intelligence:A Collaborative Decision Making Framework for Large Model Agent Groups and Human Experts
  4. 2023Learning Complementary Policies for Human-AI Teams
  5. 2023Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
  6. 2024Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare
  7. 2024The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing
  8. 2024CREW: Facilitating Human-AI Teaming Research