Lessons Learned in Developing and Validating Models of Visual Search and Target Acquisition

Abstract

Some shortcomings of past and current approaches for modeling human visual search and target acquisition (STA) are discussed. The effects of complex pattern perception visual attention learning and cognition on STA performance are particularly emphasized. The importance of these processes is explained and approaches are suggested for modeling them. Guidelines are also provided for testing and validating models of visual search and target acquisition. These guidelines take into account the roles of pattern perception visual attention learning, and cognition in STA performance. The present paper also presents and compares alternative approaches to field testing for the purpose of model validation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADP010531

Entities

People

  • Richard Home
  • Theodore J. Doll

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Calibration
  • Cognition
  • Contrast
  • Detection
  • Detectors
  • False Alarms
  • High Resolution
  • Information Science
  • Optics
  • Perception
  • Psychology
  • Recognition
  • Signal Detection
  • Target Acquisition
  • Vehicles

Fields of Study

  • Psychology

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.