Human-Autonomy Teaming: Team Trust Metrics - Wingman Simulation Study

Abstract

This report presents the results from collaborative exploratory research designed to identify and assess different metrics of team trust and team cohesion that may be relevant to military human autonomy teams. This was a simulation study using the Wingman Joint Capabilities Technology Demonstration simulation testbed to conduct manned unmanned teaming scenarios on Table VI gunnery evaluations. Participants worked as a team to operate a simulated robotic ground vehicle from a simulated command-and-control vehicle to identify and engage targets on a simulated Army gunnery range. Findings suggest the importance of a multimethod approach to analyzing team trust and team cohesion. Traditional metrics based on team performance ratings or self-report are not indicative of the full team-trust relationship. This research provides valuable insights into how different measurement techniques can provide a more global understanding of the trust relationship.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2020
Accession Number
AD1116499

Entities

People

  • Alyssa Milner
  • Andrea Krausman
  • Anthony L Baker
  • Canady Jonroy
  • Catherine Neubauer
  • Dae Han Seong
  • David Chhan
  • Ericka Rovira
  • Evan Carter
  • Kristin E. Schaefer
  • Ralph W. Brewer
  • Robert Thomson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Autonomous Systems
  • Autonomous Vehicles
  • Autonomy
  • Cameras
  • Classification
  • Cognitive Workload
  • Computational Science
  • Heart Rate
  • Human Factors Engineering
  • Information Science
  • Language
  • Machine Learning
  • Measurement
  • Military Training
  • Natural Language Processing
  • Psychology
  • Psychophysiology
  • Simulations
  • Test And Evaluation
  • Unmanned Systems
  • Unmanned Vehicles
  • Wearable Technology

Fields of Study

  • Computer science

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control