Advanced Human Modelling Behaviours: The Key to Optimising Individual Readiness and Organisational Effectiveness

Abstract

United States Joint Forces Command (USJFCOM) Joint Training Directorate/Joint Warfighting Center (J7) supports joint warfighter development by strengthening and developing capabilities for the Joint Training Environment (JTE). USJFCOM J7 manages and develops enhancements for all joint models, federations, and tools used in the JTE. A JTE objective is to further develop human modelling concepts that focus on the tactical level of warfare involving an asymmetric opponent. Our goal is to provide realism in joint staff training, while avoiding negative consequences that could result if human reactions to combat situations are not anticipated. Human modelling within gaming technologies continues to be a critical gap in supporting increasingly complex training scenarios. Advancing human modelling behaviours is pivotal to optimizing individual readiness and organizational effectiveness to support the fight, today and in the future. At the request of the Allied Command Transformation (ACT), USJFCOM J7 demonstrated that constructive simulations could be combined with a gaming technology, Virtual Battlespace 2 (VBS2), for the International Training and Education Conference (ITEC). The team developed scenarios to provide strategic to tactical levels of training that addressed Time Sensitive Targeting and Joint Personnel Recovery training objectives. Although the scenarios provided high fidelity, realistic training and satisfied the training objectives, they lacked sufficient realistic human modelling behaviour because of the level of difficulty to predict or control Artificial Intelligence (AI) by a single operator. Thus, they did not take into consideration neutral and other parties within the area of interest, which may not have provided a true representation of actuality of collateral damage to a civilian population in the real world.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2010
Accession Number
ADA592362

Entities

People

  • Alex Hoover
  • Amy Grom
  • David Knox
  • Quint Van Deman

Organizations

  • Fraunhofer Society

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Collateral Damage
  • Education
  • Engineers
  • Human Behavior
  • Military Operations
  • Military Science
  • Military Training
  • Personality
  • Simulations
  • Training
  • United States
  • Unmanned Aerial Vehicles
  • Urban Areas
  • Warfare
  • Weapons Effects

Readers

  • Military Training and Readiness Simulation
  • Systems Analysis and Design
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy