EPIC Models of Auditory and Visual Tasks

Abstract

This is the final report for a project on the further development and validation of the EPIC cognitive architecture for modeling human cognition and performance in the auditory and visual realm. The architecture was extended further to account for sound and speech phenomena, with emphasis on multichannel speech comprehension in a simple command-and-control task for which considerable empirical data is available. Militarily-relevant visual search tasks were modeled in considerable detail for both aggregate and individual performance. Because EPIC relies on simpler and more empirically-based visual mechanisms than current theories, the results are especially valuable for both science and application.

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Document Details

Document Type
Technical Report
Publication Date
Apr 10, 2020
Accession Number
AD1101931

Entities

People

  • David Kieras
  • Gregory H. Wakefield

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Compressed Sensing
  • Computer Vision
  • Detectors
  • Ear
  • Electrical Engineering
  • Human Factors Engineering
  • Human-Machine Interaction
  • Mathematical Models
  • Mental Processes
  • Military Research
  • Motor Skills
  • Psychology
  • Task Performance And Analysis

Fields of Study

  • Computer science

Readers

  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Fully Networked C3