Measuring and Modeling Attentional Limitations in Split-Second Visual Decisions

Abstract

In this project, we studied how people make decisions in fast, attention-demanding visual tasks. We used a combination of behavioral measurements, mathematical modeling, and eye position recordings. We used visual search tasks, in which human observers either categorized or detected a target object in a briefly presented scene that also contained distractors, and change detection tasks, in which observers detected a change between two scenes separated by a delay period.

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Document Details

Document Type
Technical Report
Publication Date
Mar 18, 2017
Accession Number
AD1058679

Entities

People

  • Wei J. Ma

Organizations

  • New York University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Change Detection
  • Coding
  • Computations
  • Department Of Defense
  • Detection
  • Engineering
  • Human Behavior
  • Human-Machine Interaction
  • Mathematics
  • New York
  • Parallel Computing
  • Parallel Processing
  • Probability
  • Probability Distributions
  • Psychology
  • Students

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.