Robotic Operator Performance in Simulated Reconnaissance Missions

Abstract

The goal of this research was to examine how robotic operators' performance differed. depending on the type and number of assets available. Operator strategies for using multiple robotic vehicles were examined. We also investigated how sensor feed degradations affected operators' performance and perceived workload. The results suggest that giving robotic operators additional assets may not be beneficial. Target detection was most poor for the teleoperated vehicle (Teleop). probably because of the demands of remote driving. Slowing sensor-fed video frame rate or the imposition of a short response latency of 250 ms between Teleop control and reaction failed to affect operators' performance significantly.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA439871

Entities

People

  • Jared A. Sloan
  • Jessie Y. C. Chen
  • Laticia D. Bowens
  • Paula J. Durlach

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Cognitive Workload
  • Detection
  • Detectors
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Robot Interaction
  • Military Operations
  • Motor Skills
  • Psychology
  • Situational Awareness
  • Target Acquisition
  • Target Detection
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • Virtual Reality

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Robotics and Automation.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy