RoboLeader: A Surrogate for Enhancing the Human Control of a Team of Robots

Abstract

RoboLeader, an intelligent agent, was developed to assist human operators in controlling a team of unmanned vehicles through route planning tasks. Though there were no significant differences between the RoboLeader and baseline conditions in target detection, the RoboLeader group reduced their mission completion times by approximately 13% compared to the baseline group. Operators' target detection performance in the four- and eight-vehicle conditions were analyzed, with results showing significantly fewer targets identified in the eight-vehicle condition compared to the four-vehicle condition. Participants with higher spatial ability detected more targets than those with lower spatial ability. Participants experienced significantly higher workload in the eight-vehicle condition compared to the four-vehicle condition. Participants with better attentional control reported lower workload than those with poorer attentional control, and females reported significantly higher workload than males.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2010
Accession Number
ADA514855

Entities

People

  • Jessie U. Chen
  • Michael J. Barnes
  • Zhihua Qu

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Detection
  • Graphical User Interface
  • Human-Robot Interaction
  • Improvised Explosive Devices
  • Intelligent Agents
  • Robots
  • Situational Awareness
  • Supervisory Control
  • Target Detection
  • Target Recognition
  • Unmanned
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • User Interface
  • Vehicles
  • Workload

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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