Modeling Performance in C4ISR Sustained Operations: A Multi-Level Approach (Briefing Charts)

Abstract

This briefing discusses methodology and preliminary findings focused on the application of multi-level modeling techniques to distinguish effects of sleep loss and task demands on individual and team C4ISR decision making, coordination, and performance over time. We focus our efforts on measurement and modeling. First, we describe aspects of C4ISR scenario development, to ensure (a) psychological fidelity and operational relevance, (b) elicitation and assessment of performance constructs of interest, and (b) equivalence in scenario task demands and difficulty. Sustained operations research is challenged by the need for repeated-measures assessment, while minimizing effects of practice or experience. Second, we describe aspects of cognitive performance based on a standard cognitive test battery. Third, we describe other assessments (e.g. NEO PI personality assessment, mood-state inventory, Stanford Sleepiness Scale, physiological indices) that will be included in an overall approach to modeling fatigue effects, using multi-level hierarchical modeling analyses.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA467397

Entities

People

  • Christopher Barnes
  • James C Miller
  • Linda Elliott
  • Michael Coovert

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Command And Control
  • Data Fusion
  • Data Management
  • Engineering
  • Information Operations
  • Military Research
  • Motivation
  • Operations Research
  • Personality Assessment
  • Psychology
  • Reaction Time
  • Software Design
  • Standards
  • User Interface

Readers

  • Computational Modeling and Simulation
  • Joint Military Operations and Doctrine.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.