Physiological Indicators of Workload in a Remotely Piloted Aircraft Simulation

Abstract

Toward preventing performance decrements associated with mental overload in remotely piloted aircraft (RPA) operations, the current research investigated the feasibility of using physiological measures to assess cognitive workload. Two RPA operators were interviewed to identify factors that impact workload in target tracking missions. Performance, subjective workload, cortical, cardiac and eye data were collected. One cardiac and several eye measures were sensitive to changes in workload as evidenced by performance and subjective workload data. This research advances the literature toward real-time workload mitigation in RPA field operations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
ADA627875

Entities

People

  • Matt Middendorf
  • Michael Hoepf
  • Samantha Epling
  • Scott Galster

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Health Services
  • Human Factors Engineering
  • Human-Computer Interaction
  • Information Science
  • Medical Personnel
  • Military Research
  • Neurology
  • Psychology
  • Remotely Piloted Vehicles
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles
  • Virtual Reality

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