Developing Performance Measures for Manned-Unmanned Teaming Skills

Abstract

Manned-unmanned teaming (MUM-T) combines armed helicopters and unmanned aircraft system (UAS) in integrated tactical teams. Previous research identified critical skills required for successful MUM-T that many UAS operators lacked the training to execute. The current research effort was intended to develop performance measures for training-critical MUM-T skills that can support effective training. The refined performance measures were developed through interviews with senior UAS operators and at workshops consisting of scout-attack pilots and UAS operators with MUM-T experience. The product was 36 behavior-based measures that indicated good, average, and poor performance on MUM-T skills. The majority of measures (i.e., 26) were determined to have high validity and high utility, and only two measures were determined to have low validity and low utility. The measure determined to have low utility may reflect uncertainty as to the current role of UAS aircrews in MUM-T operations. The MUM-T measures can be used to effectively assess training outcomes in live training and virtual training.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA614047

Entities

People

  • Courtney R. Dean
  • John E. Stewart
  • Martin L. Bink
  • Troy Zeidman

Organizations

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

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Applied Psychology
  • Attack Aircraft
  • Attack Helicopters
  • Damage Assessment
  • Doctrine
  • Helicopters
  • Laser Spots
  • Military Science
  • Social Sciences
  • Target Acquisition
  • Target Detection
  • Training
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Instructional Design and Training Evaluation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy