Trusted Distributed Human-Machine Teaming for Safe and Effective Space-based Missions

Abstract

A challenge of space-based missions is effective teaming in a geographically and temporally (i.e., spatio-temporal) distributed environment. The geographic distribution of teammates coupled with the variable communication latency challenges effective teamwork. This challenge is exacerbated by the team complexity in a heterogeneous multiteam system composed of humans, robots, and Artificial Intelligent (AI) agents. The long-term objective of this research is to develop an AI agent that monitors distributed human machine teams (HMTs) in space-based missions to identify potential team states (e.g., fatigued, conflict, trust) and intervene when needed to improve teamwork and team effectiveness. In this proposed initial effort, our goal is to demonstrate initial capability for AI monitoring and assessment for effective space HMTs.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 21, 2022
Source ID
FA95502110104XX0

Entities

People

  • Nancy J Cooke

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs
  • Space