Visual Search Explained with a Computational Cognitive Architecture: Early Visual Processes, Eye Movements, and Task Strategies

Abstract

Visual search is important in many practical situations such as user interfaces. The primary theory of visual search performance is based on covert visual attention, with no role for low-level or early visual factors, eye movements, or task strategies, although these have been empirically measured and can be easily characterized. This report presents models constructed using the EPIC computational cognitive architecture that show that these ignored factors actually suffice to account in quantitative detail for visual search performance, casting doubt on covert visual attention as an explanatory concept, and enabling the future development of more complete and accurate models of visual search.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 2020
Accession Number
AD1114079

Entities

People

  • David Kieras

Organizations

  • University of Michigan

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Birds
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computational Science
  • Computer Programming
  • Computer Vision
  • Computers
  • Data Sets
  • Engineering
  • Human Behavior
  • Human-Computer Interaction
  • Information Processing
  • Mathematical Models
  • New York
  • Psychology
  • Task Performance And Analysis
  • Visual Perception

Fields of Study

  • Computer science

Readers

  • Human-Computer Interaction (HCI).
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.