Attention, Automaticity and Priority Learning

Abstract

It is widely held that there is a distinction between attentive and automatic cognitive processing. In research on attention using visual search tasks, the detection performance of human subjects in consistent mapping paradigms is generally regarded as indicating a shift, with practice, from serial, attentional, controlled processing to a parallel, automatic processing, while detection performance in varied mapping paradigms is taken to indicate that processing remains under attentional control. This paper proposes a priority learning mechanism to model the effects of practice and the development of automaticity, in visual search tasks. A connectionist simulation model implements this learning algorithm. Five prominent features of visual search practice effects are simulated. These are: (1) in consistent mapping tasks, practice reduces processing time, particularly the slope of reaction times as a function of the number of comparisons; (2) in varied mapping tasks, there is no change in the slope of the reaction time function: (3) both the consistent and varied effects can occur concurrently; (4) reversing the target and distractor sets produces strong interference effects; and (5) the benefits of practice are a function of the degree of consistency.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA242226

Entities

People

  • Prahlad Gupta
  • Walter Schneider

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computer Science
  • Contracts
  • Identification
  • Information Processing
  • New York
  • Procurement
  • Psychology
  • Reaction Time
  • Recognition
  • Security
  • Simulations
  • United States

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Parallel and Distributed Computing.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.