A Prediction of Soldier Retention of Tactical Unmanned Vehicle (TUV) Tasks

Abstract

An analysis was performed to predict soldiers' task performance retention (a method for predicting how rapidly individual tasks, once learned, are forgotten over intervals of no practice) of individual tactical unmanned vehicle (TUV) tasks. If retention is low, then periodic sustainment training is necessary to keep soldier task performance high. The more frequently sustainment training is required, the more costly system operations and support become. The User's Manual for Predicting Military Task Retention (ARI, 1985) was used as a guide for rating the individual tasks. Each task was rated for various characteristics known to influence retention. A numerical score was applied to each of ten task characteristics for each individual task. These scores were then totaled and compared to performance prediction tables. The tables revealed the expected proportion of soldiers in a unit able to perform the task correctly in 2 weeks, 12 weeks, and 6 months.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA351574

Entities

People

  • Patricia M. Burcham

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Behavioral Sciences
  • Computers
  • Engineering
  • Ground Vehicles
  • Marine Corps
  • Military Research
  • Operating Systems
  • Sustainment
  • Systems Engineering
  • Task Performance And Analysis
  • Training
  • Unmanned
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Military Training and Readiness Simulation

Technology Areas

  • Autonomy