TRUST ISSUES: Understanding Warfighter Trust in an Airspace Deconfliction Engine

Abstract

The MITRE Corporation is supporting DARPA on the assessment of ASTARTE, an AI-driven airspace deconfliction engine (COA recommender); Methods presented here are an attempt at understanding, in the domain of airspace deconfliction, operator trust in automation and automation transparency; Initial results presented in this work reflect early operator feedback on a prototype of the ASTARTE engine; These methods have uncovered opportunities to understand trust in AI engines and could be adapted for other use cases as well.

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Document Details

Document Type
Technical Report
Publication Date
Jun 09, 2023
Accession Number
AD1203842

Entities

People

  • Craig Doescher
  • Dar-wei Chen

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Airspace
  • Airspace Control
  • Artificial Intelligence
  • Automation
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Contracts
  • Control Systems
  • Corporations
  • Engineering
  • Engineers
  • Feedback
  • Human-Machine Systems
  • Information Systems
  • Intelligent Systems
  • Operations Research
  • Prototypes
  • Psychology
  • Situational Awareness
  • Social Psychology
  • Target Detection
  • Unmanned Systems

Fields of Study

  • Physics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.
  • Software Engineering.

Technology Areas

  • Space