The Deployment of Visual Attention

Abstract

AIM 1: Transcending the serial/parallel dichotomy in visual search: Guided Search, our model of human visual search behavior, has proposed that "preattentive" visual processes guide the deployment of attention from item to item in a serial, item-by-item fashion. Other have proposed parallel models of search. Our new model, Guided Search 4.0 and our data attempt to reconcile these views. It is a hybrid model in which a serial bottleneck governs selection of some visual objects for further processing. Visual processing before and after the bottleneck can be characterized as parallel. AIM 2: Understanding the role of memory in visual search: We have found visual search for targets proceeds without memory for rejected non-targets. This claim runs counter to the "common sense" observation that we direct real-world search strategically. "I have looked there. Now I will look here." New work replicates our findings and shows that the common-sense, memory processes are quite slow and, thus, often not useful in laboratory search tasks. AIM 3: The relationship of different modes of attentional control. Finally, we report on a series of experiments that show how visual search can occur at the same time as other visual tasks.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2009
Accession Number
ADA510413

Entities

People

  • Jeremy M. Wolfe

Organizations

  • Brigham and Women's Hospital

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Autism
  • Computer Vision
  • Data Sets
  • Deployment
  • Eye Movements
  • Health Services
  • Image Recognition
  • Information Processing
  • Object Recognition
  • Observation
  • Orientation (Direction)
  • Perception
  • Psychology
  • Recognition
  • Shape

Fields of Study

  • Biology
  • Computer science

Readers

  • Artificial Intelligence
  • Vision Science/Vision Psychology/Cognitive Neuroscience.