Trust-Based Analysis of an Air Force Collision Avoidance System

Abstract

This case study analyzes the factors that influence trust and acceptance among users (in this case, test pilots) of the Air Force's Automatic Ground Collision Avoidance System. Our analyses revealed that test pilots' trust depended on a number of factors, including the development of a nuisance free algorithm, designing fly-up evasive maneuvers consistent with a pilot's preferred behavior, and using training to assess, demonstrate, and verify the system's reliability. These factors are consistent with the literature on trust in automation and could lead to best practices for automation design, testing, and acceptance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
ADA631871

Entities

People

  • Artemio Cacanindin
  • Gina Masequesmay
  • Joseph B Lyons
  • Kolina S. Koltai
  • Mark Skoog
  • Nhut Ho
  • Walter W. Johnson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Aircrafts
  • Automation
  • California
  • Case Studies
  • Collision Avoidance
  • Collision Avoidance Systems
  • Collisions
  • Control Systems
  • False Alarms
  • Maneuvers
  • Military Operations
  • Military Research
  • Reliability
  • Warning Systems

Readers

  • Aviation Safety and Air Traffic Management
  • Organizational Process Management (OPM).
  • Systems Analysis and Design