Human-Autonomy Teaming: Supporting Dynamically Adjustable Collaboration
Abstract
Ongoing technology-driven evolution of automated uninhabited systems (e.g., incorporating artificial intelligence and cloud computing) set the focus of the HFM-247 activities on Human-Autonomy Teaming (HAT): The identification, validation and demonstration of methodologies and interaction design practices that allow for shared situation awareness of task and environment, bi-directional understanding of intent, dynamic work distributions, goal-directed communications, and effective mission collaboration in HAT. HFM-247 developed and applied an empirical pattern approach to explore creative solutions in key application areas and establish harmonization of activities within the group: Each participating nation identified at least one HAT-related Technical Activity (TA) being conducted within that nation, relating it to the pattern concepts and evaluation metrics. The resulting10 TAs showed common human factors and design pattern elements. This report summarizes the HAT approach and TAs with the lessons learned and the recommendation to focus research on meaningful human control, continuous trust-calibration for reliance on automation, explainable Artificial Intelligence in human-agent teaming, and evolving hybrid intelligence by co-learning.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2020
- Accession Number
- AD1183655
Entities
People
- Leo Van Breda
- Timothy Barry
Organizations
- NATO Science and Technology Organization