Modeling the Symbolic Control of Visual Attention

Doctoral Dissertation


Humans use a variety of perceptual and conceptual symbols to orient visuo- spatial attention around the visual field. Much of the research investigating the orienting of attention, however, has focused on the form of attentional control these symbols elicit. In so doing, the interaction between cue processing and attentional orienting has largely been overlooked. The present study attempted to address this gap in knowledge by first developing three computational models of voluntary attentional control. Each model was based on a competing theory about how previously observed differences in performance on the well known spatial cuing task arise as a function of cue processing. Differentiating the theories using the computational models was inconclusive, with some effects being predicted better by one model or another. However, all models revealed a consistent difference in mechanism efficiency as a function of cue type.


Attribute NameValues
  • etd-07112014-130249

Author Gregory James Davis
Advisor Gregory R. Madey
Contributor Gregory R. Madey, Committee Co-Chair
Contributor Laura A. Carlson, Committee Member
Contributor James R. Brockmole, Committee Member
Contributor Sidney DMello, Committee Member
Contributor Bradley S. Gibson, Committee Co-Chair
Degree Level Doctoral Dissertation
Degree Discipline Computer Science and Engineering
Degree Name PhD
Defense Date
  • 2014-05-06

Submission Date 2014-07-11
  • United States of America

  • Attention Modeling Neural Network

  • University of Notre Dame

  • English

Record Visibility Public
Embargo Release Date
  • 2015-07-22

Content License
  • All rights reserved

Departments and Units


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