Developing Guided Search 3.0. The Next Generation of a Model Visual Search

Abstract

There are numerous situations, from picking fruit to flying a plane, that require an observer to find a target item in a field filled with distracting items. Guided Search (GS) is our model of this visual search process. This project aims to develop the next generation of that model. In the past year, progress has been made in three areas: (1) The GS computer simulation has been improved, notably by equipping it with the ability to learn how to select useful information from the available input channels. (2) Our study of individual differences between subjects indicates that the differences between subjects indicates that the differences revealed by standard search paradigms are probably mere noise. However, we can modify the usual paradigm by using larger display set sizes. This produces reliable individual differences that can be used to evaluate theories of search. (3) There are many tasks that require search through visually complex technical information. Using electrical diagrams as an example, we have developed techniques to speed search by graphical recoding of diagram information. We do this while preserving the standard structure of the diagrams. Our goal is 'hybrid search' in which human and computer both contribute to the success of the search.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1994
Accession Number
ADA283956

Entities

People

  • Jeremy M. Wolfe

Organizations

  • Brigham and Women's Hospital

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Availability
  • Color Vision
  • Computer Simulations
  • Computer Vision
  • Computers
  • Demographic Cohorts
  • Deployment
  • Electric Power
  • High Reliability
  • Hospitals
  • Orientation (Direction)
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Reliability
  • Simulations
  • Standards

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.