Designing for Humans in Autonomous Systems: Military Applications

Abstract

The purpose of this report is to review U.S. Army Research Laboratory (ARL)-sponsored research on the human s role in future autonomous systems and to derive design guidelines to foster human/autonomy collaboration. The research was conducted as part of a larger Army program, Safe Operations for Unmanned systems for Reconnaissance in Complex Environments (SOURCE), that focused on developing safe autonomy for urban applications. The human-autonomy design research encompasses agent reliability, span of control, safety issues, individual differences, training, function allocation, and results from field experiments evaluating advanced interface solutions. The main sections of this report cover (1) autonomy and intelligent agents, (2) RoboLeader, (3) safety for autonomous systems, (4) naturalistic interfaces, and (5) situation understanding using unmanned vehicle imagery. After each section, implications of the results are summarized to develop design guidelines for incorporating humans into autonomous military systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA598472

Entities

People

  • Arthur W. Evans Iii
  • Elizabeth Redden
  • Florian Jentsch
  • Jessie Y. Chen
  • Linda Elliott
  • Michael J. Barnes
  • Tal Oron-Gilad

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Autonomous Systems
  • Cognitive Systems Engineering
  • Collision Avoidance
  • Control Systems
  • Human Factors Engineering
  • Human-Robot Interaction
  • Intelligent Agents
  • Military Applications
  • Military Operations
  • Psychology
  • Reliability
  • Supervisory Control
  • Three Dimensional
  • Two Dimensional
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction