Soldier-in-the-Loop Target Acquisition Performance Prediction Through 2001: Integration of Perceptual and Cognitive Models

Abstract

Modeling Soldier-in-the-loop target acquisition performance is necessary for the development of improved sensors, more effective training methods, and better war game simulations. Accurately modeling requires a detailed understanding of how the observer employs sensor information to acquire a target. This report takes a two-pronged approach to how future models can be improved by the sensible integration of human visual processing. One prong concerns basic research from the perceptual psychology community. Over the last few decades, this research has generated a detailed theoretical understanding of visual processing and decision making, based on visual information. The other prong concerns important models, modeling frameworks, and scene metrics from the military target acquisition community. Particular attention is paid to issues of clutter, the extendibility of the Johnson criteria, classical and neoclassical search frameworks, the selection of methods and performance metrics, and existing Night Vision and Electronic Sensors Directorate models. Phenomena from perceptual psychology known to affect target acquisition are reviewed in terms of how target acquisition models do and do not account for them. Basic models of visual search are included as guides for how target acquisition models may incorporate some of these factors. Visual selective attention is recommended as a means for the theoretically meaningful inclusion of psychologically important factors into target acquisition modeling.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA451392

Entities

People

  • Barry D. Vaughan

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognition
  • Computational Science
  • Computer Vision
  • Detection
  • Detectors
  • Feature Extraction
  • Geometric Forms
  • Image Processing
  • Information Processing
  • Military Research
  • Neural Networks
  • Optics
  • Pattern Recognition
  • Psychology
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Sensor Fusion and Tracking Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.

Technology Areas

  • Microelectronics