Soldier Cognitive Processes: Supporting Teleoperated Ground Vehicle Operations

Abstract

Although small ground robotic vehicles provide great promise and benefit to units, there are challenges to overcome if the maximum benefit is to be gained from the introduction of these systems. The robots offer a host of capabilities. However, a person must know how to operate the system procedurally (e.g., use the hand controller buttons, know the menu options) and tactically (e.g., understand what the system can and cannot do). Learning how to operate and employ the ground robotic vehicle imposes a cognitive load on top of other military skills, perceptual decision-making skills, and communication skills that need to be utilized while operating the system. Therefore, trainers and leaders must understand what loads are placed on operators. The major issue is to understand how cognitive load impacts operators performance. Finally, training materials and approaches for operators, especially when the operators have diverse backgrounds and skills, must be designed and developed so operators can effectively and efficiently take advantage of the capabilities offered by the small ground robotic vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2014
Accession Number
ADA616379

Entities

People

  • John J. Lipinski
  • Richard Catrambone
  • Richard L. Wampler
  • Victor J. Ingurgio

Organizations

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

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computers
  • Employment
  • Ground Vehicles
  • Human Factors Engineering
  • Materials
  • Psychology
  • Social Sciences
  • Task Performance And Analysis
  • Training
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Joint Military Operations and Doctrine.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy