Training to Operate a Simulated Micro-Unmanned Aerial Vehicle With Continuous or Discrete Manual Control

Abstract

This report investigates the effects of continuous vs. discrete control methods and the number of simultaneous camera views on operator performance during training to manually control a simulated micro-unmanned aerial vehicle (MAV). Seventy-two participants were trained to operate a MAV in a simulated environment, to designated criterion levels. They were then given training missions during which performance was measured. Eight conditions were investigated, formed by crossing three 2-level factors: input device (mouse vs. game controller), input control display (discrete vs. continuous), and number of simultaneous camera views (one vs. two). Superior performance was observed when a continuous input method (e.g., multiple degrees of freedom) was provided for continuous MAV functions (e.g. maneuvering in space) and a discrete input method (e.g., single action) was provided for discrete MAV functions (e.g., command to hover). Under these conditions, mission times were shorter, collisions were fewer, and more targets were photographed. Effects of video game experience and spatial ability were also investigated. Recommendations for the design of unmanned vehicle controls were discussed.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2008
Accession Number
ADA482410

Entities

People

  • Deborah R. Billings
  • John L. Neumann
  • Paula J. Durlach

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Collision Avoidance
  • Control Systems
  • Flight Training
  • Human Factors Engineering
  • Human-Computer Interaction
  • Micro Air Vehicles
  • Psychology
  • Situational Awareness
  • Social Sciences
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Video Games

Readers

  • Aviation Science / Aeronautics.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Control Systems Engineering.

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space
  • Space - Spacecraft Maneuvers