Sustaining Performance and Vigilance During Extended UAS Operations

Abstract

Current scheduling of unmanned aerial system (UAS) operators often allows for 8 hour shifts, where operators are typically exposed to low event rate tasks, thus leading to the occurrence of underload. While a long, rich history of vigilance research exists, few studies have examined the threshold at which performance decrements occur in UAS operators in operational settings and the utility of strategies to mitigate vigilance and performance decrements. This study evaluated the performance thresholds relative to time-on-task during a 4 hour simulated UAS mission. Additionally, this study evaluated the effectiveness of countermeasure strategies (secondary task and ambient lighting) on sustaining performance and vigilance during simulated UAS missions. Finally, the study demonstrated patterns of psychophysiological indicators of operator states (comparing high and low workload). Findings suggest that performance begins to decline after 15 minutes on task and plateaus by 45 minutes on task for both workload conditions. There was insufficient evidence to support any of the countermeasures, yet patterns in EEG are consistent with past findings regarding shifts in perceived workload.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2020
Accession Number
AD1109475

Entities

People

  • Amanda Hayes
  • Amanda Kelley
  • Colby Mathews
  • Kyle Bernhardt

Organizations

  • United States Army Aeromedical Research Lab

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Accuracy
  • Air Force
  • Aircrafts
  • Biomedical Research
  • Cognitive Workload
  • Computers
  • Control Systems
  • Detection
  • Electroencephalography
  • Ground Control Stations
  • Human Factors Engineering
  • Psychology
  • Quality Control
  • Simulations
  • Simulators
  • Statistical Analysis
  • Technical Information Centers
  • United States
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy