Adapting the Transparency of Autonomous Systems to Optimise Human-Autonomy Teaming in Command and Control (C2) Settings

Abstract

Technological advances in command and control (C2) platforms across aerospace, landand maritime settings mean that the modern war f ighter will increasingly work withautonomous systems (human-autonomy teaming). The operators role will become moresupervisory, re quiring them to monitor the environment and automated advice to managemission objectives (Endsley, 2017). While automation undoubte dly benefits systemperformance, contextual factors mean that automation has the potential to provideincorrect advice. This uncerta inty creates the possibility for the human operator to disuse ormisuse automation (Lee & See, 2004). Disuse refers to operators not actioning correct advice,whereas misuse refers to operators actioning incorrect advice. Also, operators may needsignificant time to verify advice, increasing decision time and mental workload to thepotential detriment to operational success. It has been recog nised that increasing thetransparency of automation has the potential to allow operators to more accurately andefficiently use aut omation by facilitating their understanding of the reasoning underlyingadvice (Bhaskara, Skinner, & Loft, 2019; Chen & Barnes, 2014 ; Lyons et al., 2017). Theformidable challenge ahead is to determine what type and amount of transparentinformation is optimal, an d how to present that information, in order to increase the accurateand timely use of automated advice in C2 settings.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 16, 2021
Source ID
N629092212002

Entities

People

  • Shayne Loft

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Western Australia

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space
  • Space - Spacecraft Maneuvers